CN105517278A - Control method and apparatus of filament currents - Google Patents

Control method and apparatus of filament currents Download PDF

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Publication number
CN105517278A
CN105517278A CN201510844653.2A CN201510844653A CN105517278A CN 105517278 A CN105517278 A CN 105517278A CN 201510844653 A CN201510844653 A CN 201510844653A CN 105517278 A CN105517278 A CN 105517278A
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fuzzy
correction value
voltage
coefficient
parameter
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CN105517278B (en
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赵明宇
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Neusoft Medical Systems Co Ltd
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Neusoft Medical Systems Co Ltd
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    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection

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  • Control Of Resistance Heating (AREA)

Abstract

The invention provides a control method and apparatus of filament currents. The method comprises the following steps: obtaining voltage input values, and calculating voltage change parameters by use of the voltage input values; obtaining control parameter correction values by use of the voltage change parameters; correcting control parameters by use of the control parameter correction values; obtaining voltage output values by use of the control parameters after correction; and controlling the filament currents by use of the voltage output values. According to the technical scheme provided by the invention, the corrected control parameters can meet control requirements, a PID controller can better control the filament currents, the filament currents maintain rapid, stable, accurate and reliable at a filament preparation stage and a filament exposure stage, the real-time performance and the anti-interference capability are quite high, the dynamic and static performance is good, static and dynamic performance of tube currents is improved accordingly, and the image quality is improved.

Description

A kind of control method of heater current and device
Technical field
The present invention relates to control technology field, particularly relate to a kind of control method and device of heater current.
Background technology
In medical diagnosis, tube current (the electronics that filament heating produces, under negative and positive two-stage high voltage field action, the electric current that anode high-speed motion is formed, be called tube current) can the indexs such as gradation of image be had influence on, and tube current determines primarily of tube voltage and heater current, the major influence factors of tube current is heater current.Based on this, how to control heater current well, make heater current keep rapidity, stationarity, accuracy and reliability in filament preparatory stage and filament exposure stage, just become particularly important.
At present, usual employing PID (ProportionIntegrationDifferentiation, proportion integration differentiation) controller control heater current, PID controller is feedback loop parts common in Industry Control Application, be made up of proportional unit P, integral unit I and differentiation element D, PID controller only needs setting three parameter (Proportional coefficient Ks p, integral coefficient K iwith differential coefficient K d).
But, at the parameter (Proportional coefficient K of PID controller p, integral coefficient K iwith differential coefficient K d) set after, parameter can not change according to real time status, and when voltage is undergone mutation, the parameter set may cannot meet control overflow, thus causes PID controller well cannot control heater current.Therefore, the real-time of above-mentioned control mode and antijamming capability poor.
Summary of the invention
The invention provides a kind of control method of heater current, said method comprising the steps of:
Obtain voltage input levels, and utilize described voltage input levels calculating voltage running parameter;
Described voltage variation parameter is utilized to obtain controling parameters correction value;
Described controling parameters correction value is utilized to revise controling parameters;
Revised controling parameters is utilized to obtain voltage output value;
Described voltage output value is utilized to control heater current.
Described voltage variation parameter specifically comprises: filament voltage deviation E and/or filament voltage deviation variation rate Ec; Described controling parameters specifically comprises one of following or combination in any: Proportional coefficient K p, integral coefficient K iwith differential coefficient K d.
The described process utilizing revised controling parameters to obtain voltage output value, specifically comprises:
Utilize following formulae discovery voltage output value:
u ( k ) = K p E ( k ) + K i Σ j = 0 k E ( j ) + K d E c ( k ) ;
Wherein, u (k) is the filament voltage output valve of kth time sampling instant, and k is sampling sequence number, and E (k) is the filament voltage deviation variation rate of the filament voltage deviation of kth time sampling instant, time sampling instant of Ec (k) kth, K pfor revised proportionality coefficient, and K pfor the proportionality coefficient before correction and proportionality coefficient correction value sum, K ifor revised integral coefficient, and K ifor the integral coefficient before correction and integral coefficient correction value sum, K dfor revised differential coefficient, and K dfor the differential coefficient before correction and differential coefficient correction value sum.
The described process utilizing described voltage variation parameter to obtain controling parameters correction value, specifically comprises:
Fuzzy processing is carried out to described voltage variation parameter, obtains fuzzy voltage variation parameter;
Utilizing described fuzzy voltage variation parameter inquiry for recording the fuzzy control table of the corresponding relation of fuzzy voltage variation parameter and fuzzy control parameter correction value, obtaining corresponding fuzzy control parameter correction value;
Ambiguity solution process is carried out to described fuzzy control parameter correction value, obtains controling parameters correction value.
Safeguard the process of the fuzzy control table of the corresponding relation for recording fuzzy voltage variation parameter and fuzzy control parameter correction value, specifically comprise: the excursion determining voltage variation parameter, and utilize the excursion of described voltage variation parameter to determine the first basic domain that described voltage variation parameter is corresponding, and determine the first fuzzy domain that the described first basic domain is corresponding, and determine the first fuzzy subset that described first fuzzy domain is corresponding, comprise the fuzzy voltage variation parameter that described voltage variation parameter is corresponding in described first fuzzy subset; Determine the excursion of controling parameters correction value, and utilize the excursion of described controling parameters correction value to determine the second basic domain that described controling parameters correction value is corresponding, and determine the second fuzzy domain that the described second basic domain is corresponding, and determine the second fuzzy subset that described second fuzzy domain is corresponding, comprise fuzzy control parameter correction value corresponding to described controling parameters correction value in described second fuzzy subset;
The corresponding relation between the fuzzy control parameter correction value that comprises in the fuzzy voltage variation parameter and described second fuzzy subset that comprise in described first fuzzy subset is configured in described fuzzy control table.
The described process configuring corresponding relation between the fuzzy control parameter correction value that comprises in the fuzzy voltage variation parameter and described second fuzzy subset that comprise in described first fuzzy subset in described fuzzy control table, specifically comprise: when described fuzzy voltage variation parameter is specially fuzzy filament voltage deviation E and fuzzy filament voltage deviation variation rate Ec, and described fuzzy control parameter correction value is specially fuzzy proportional COEFFICIENT K pcorrection value, fuzzy integral COEFFICIENT K icorrection value, fuzzy differential calculus COEFFICIENT K dduring correction value, then in described fuzzy control table, configure in described first fuzzy subset the fuzzy proportional COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset pcorresponding relation between correction value; And in described fuzzy control table, configure in described first fuzzy subset the fuzzy integral COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset icorresponding relation between correction value; And in described fuzzy control table, configure in described first fuzzy subset the fuzzy differential calculus COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset dcorresponding relation between correction value.
The invention provides a kind of control device of heater current, described device specifically comprises:
Computing module, for obtaining voltage input levels, and utilizes voltage input levels calculating voltage running parameter;
First obtains module, obtains controling parameters correction value for utilizing described voltage variation parameter;
Processing module, revises controling parameters for utilizing described controling parameters correction value;
Second obtains module, obtains voltage output value for utilizing revised controling parameters;
Control module, controls heater current for utilizing described voltage output value.
Described voltage variation parameter specifically comprises: filament voltage deviation E and/or filament voltage deviation variation rate Ec; Described controling parameters specifically comprises one of following or combination in any: Proportional coefficient K p, integral coefficient K iwith differential coefficient K d.
Described second obtains module, specifically for utilizing described revised controling parameters to obtain in the process of voltage output value, utilizes voltage output value described in following formulae discovery:
u ( k ) = K p E ( k ) + K i Σ j = 0 k E ( j ) + K d E c ( k ) ;
Wherein, u (k) is the filament voltage output valve of kth time sampling instant, and k is sampling sequence number, and E (k) is the filament voltage deviation variation rate of the filament voltage deviation of kth time sampling instant, time sampling instant of Ec (k) kth, K pfor revised proportionality coefficient, and K pfor the proportionality coefficient before correction and proportionality coefficient correction value sum, K ifor revised integral coefficient, and K ifor the integral coefficient before correction and integral coefficient correction value sum, K dfor revised differential coefficient, and K dfor the differential coefficient before correction and differential coefficient correction value sum.
Described first obtains module, specifically for utilizing described voltage variation parameter to obtain in the process of controling parameters correction value, carrying out Fuzzy processing, obtain fuzzy voltage variation parameter to described voltage variation parameter; Utilizing described fuzzy voltage variation parameter inquiry for recording the fuzzy control table of the corresponding relation of fuzzy voltage variation parameter and fuzzy control parameter correction value, obtaining corresponding fuzzy control parameter correction value; Ambiguity solution process is carried out to described fuzzy control parameter correction value, obtains controling parameters correction value.
Described first obtains module, specifically in the process of fuzzy control table safeguarding the corresponding relation for recording fuzzy voltage variation parameter and fuzzy control parameter correction value, determine the excursion of voltage variation parameter, the excursion of described voltage variation parameter is utilized to determine the first basic domain that described voltage variation parameter is corresponding, determine the first fuzzy domain that the described first basic domain is corresponding, determine the first fuzzy subset that described first fuzzy domain is corresponding in described first fuzzy subset, to comprise the fuzzy voltage variation parameter that described voltage variation parameter is corresponding; Determine the excursion of controling parameters correction value, the excursion of described controling parameters correction value is utilized to determine the second basic domain that described controling parameters correction value is corresponding, determine the second fuzzy domain that the described second basic domain is corresponding, determine the second fuzzy subset that described second fuzzy domain is corresponding in described second fuzzy subset, to comprise fuzzy control parameter correction value corresponding to described controling parameters correction value; The corresponding relation between the fuzzy control parameter correction value that comprises in the fuzzy voltage variation parameter and described second fuzzy subset that comprise in described first fuzzy subset is configured in described fuzzy control table.
Described first obtains module, specifically for configuring in the process of the corresponding relation between the fuzzy control parameter correction value that comprises in the fuzzy voltage variation parameter and described second fuzzy subset that comprise in described first fuzzy subset in described fuzzy control table, when described fuzzy voltage variation parameter is fuzzy filament voltage deviation E and fuzzy filament voltage deviation variation rate Ec, and described fuzzy control parameter correction value is fuzzy proportional COEFFICIENT K pcorrection value, fuzzy integral COEFFICIENT K icorrection value, fuzzy differential calculus COEFFICIENT K dduring correction value, then in described fuzzy control table, configure in described first fuzzy subset the fuzzy proportional COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset pcorresponding relation between correction value; And in described fuzzy control table, configure in described first fuzzy subset the fuzzy integral COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset icorresponding relation between correction value; And in described fuzzy control table, configure in described first fuzzy subset the fuzzy differential calculus COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset dcorresponding relation between correction value.
Based on technique scheme, in the embodiment of the present invention, at the controling parameters (Proportional coefficient K of PID controller p, integral coefficient K iwith differential coefficient K d) set after, controling parameters correction value can be utilized to revise controling parameters, revised controling parameters is utilized to obtain voltage output value, voltage output value is utilized to control heater current, therefore the controling parameters of PID controller can change according to real time status, when voltage is undergone mutation, revised controling parameters can meet control overflow, PID controller is made to can be good at controlling heater current, heater current is made to keep rapidity in filament preparatory stage and filament exposure stage, stationarity, accuracy, reliability, real-time and antijamming capability stronger, there is good dynamic and static state performance, and then improve the Static and dynamic performance of tube current, improve picture quality.
Accompanying drawing explanation
Accompanying drawing to be herein merged in specification and to form the part of this specification, shows the embodiment meeting the application, and is used from specification one principle explaining the application.
Fig. 1 is the flow chart of the control method of heater current in one embodiment of the present invention;
Fig. 2 is the structural representation of the fuzzy controller in one embodiment of the present invention;
Fig. 3 is the flow chart of the control method of heater current in another embodiment of the present invention;
Fig. 4 is the linguistic variable schematic diagram of the obfuscation in one embodiment of the present invention;
Fig. 5 A-Fig. 5 C is the schematic diagram of the fuzzy control table in one embodiment of the present invention;
Fig. 6 is the structural representation controlled heater current in one embodiment of the present invention;
Fig. 7 is the contrast simulation result schematic diagram in one embodiment of the present invention;
Fig. 8 is the structure chart of the control device of heater current in one embodiment of the present invention.
Embodiment
In the object that term used in this application is only for describing specific embodiment, and unrestricted the application." one ", " described " and " being somebody's turn to do " of the singulative used in the application and claims is also intended to comprise most form, unless context clearly represents other implication.It is also understood that term "and/or" used herein refers to that any or all that comprise one or more project of listing be associated may combine.
Term first, second, third, etc. may be adopted although should be appreciated that to describe various information in the application, these information should not be limited to these terms.These terms are only used for the information of same type to be distinguished from each other out.Such as, when not departing from the application's scope, the first information also can be called as the second information, and similarly, the second information also can be called as the first information.Depend on linguistic context, in addition, the word that uses " if " can be construed as into " ... time " or " when ... time " or " in response to determining ".
For problems of the prior art, propose a kind of control method of heater current in the embodiment of the present invention, as shown in Figure 1, the control method of this heater current specifically can comprise the following steps:
Step 101, obtains voltage input levels, and utilizes this voltage input levels calculating voltage running parameter.
Step 102, utilizes this voltage variation parameter to obtain controling parameters correction value.
Step 103, utilizes this controling parameters correction value to revise controling parameters.
Step 104, utilizes revised controling parameters to obtain voltage output value.
Step 105, utilizes this voltage output value to control heater current.
In the embodiment of the present invention, this voltage variation parameter specifically can include but not limited to: filament voltage deviation E and/or filament voltage deviation variation rate Ec; This controling parameters specifically can include but not limited to one of following or combination in any: Proportional coefficient K p, integral coefficient K iwith differential coefficient K d.
In the embodiment of the present invention, for step 104, utilize revised controling parameters to obtain the process of voltage output value, specifically can include but not limited to as under type: utilize following formulae discovery voltage output value:
u ( k ) = K p E ( k ) + K i Σ j = 0 k E ( j ) + K d E c ( k ) ;
Wherein, u (k) is the filament voltage output valve of kth time sampling instant, and k is sampling sequence number, and E (k) is the filament voltage deviation variation rate of the filament voltage deviation of kth time sampling instant, time sampling instant of Ec (k) kth, K pfor revised proportionality coefficient, and K pfor the proportionality coefficient before correction and proportionality coefficient correction value sum, K ifor revised integral coefficient, and K ifor the integral coefficient before correction and integral coefficient correction value sum, K dfor revised differential coefficient, and K dfor the differential coefficient before correction and differential coefficient correction value sum.
In the embodiment of the present invention, for step 102, utilize voltage variation parameter to obtain the process of controling parameters correction value, specifically can include but not limited to as under type: Fuzzy processing is carried out to voltage variation parameter, obtain fuzzy voltage variation parameter; Utilize fuzzy voltage variation parameter to inquire about fuzzy control table, obtain the fuzzy control parameter correction value that this fuzzy voltage variation parameter is corresponding; Ambiguity solution process is carried out to fuzzy control parameter correction value, obtains controling parameters correction value.Wherein, this pre-configured fuzzy control table is for recording the corresponding relation between fuzzy voltage variation parameter and fuzzy control parameter correction value.
In the embodiment of the present invention, safeguard the process of the fuzzy control table for recording the corresponding relation between fuzzy voltage variation parameter and fuzzy control parameter correction value, specifically can include but not limited to as under type: the excursion determining voltage variation parameter, and utilize the excursion of this voltage variation parameter to determine the first basic domain that this voltage variation parameter is corresponding, and determine the first fuzzy domain that this first basic domain is corresponding, and determine the first fuzzy subset that this first fuzzy domain is corresponding, the fuzzy voltage variation parameter that this voltage variation parameter is corresponding is comprised in this first fuzzy subset.Determine the excursion of controling parameters correction value, and utilize the excursion of this controling parameters correction value to determine the second basic domain that this controling parameters correction value is corresponding, and determine the second fuzzy domain that this second basic domain is corresponding, and determine the second fuzzy subset that this second fuzzy domain is corresponding, comprise fuzzy control parameter correction value corresponding to this controling parameters correction value in this second fuzzy subset.The corresponding relation between the fuzzy control parameter correction value that comprises in the fuzzy voltage variation parameter and the second fuzzy subset that comprise in the first fuzzy subset is configured in fuzzy control table.
In the embodiment of the present invention, the process of the corresponding relation between the fuzzy control parameter correction value that comprises in the fuzzy voltage variation parameter and the second fuzzy subset that comprise in the first fuzzy subset is configured in fuzzy control table, specifically can include but not limited to as under type: when fuzzy voltage variation parameter is specially fuzzy filament voltage deviation E and fuzzy filament voltage deviation variation rate Ec, and fuzzy control parameter correction value is specially fuzzy proportional COEFFICIENT K pcorrection value, fuzzy integral COEFFICIENT K icorrection value, fuzzy differential calculus COEFFICIENT K dduring correction value, then: in fuzzy control table, configure the fuzzy proportional COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised in the first fuzzy subset, fuzzy filament voltage deviation variation rate Ec and the second fuzzy subset pcorresponding relation between correction value; Further, in fuzzy control table, configure the fuzzy integral COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised in the first fuzzy subset, fuzzy filament voltage deviation variation rate Ec and the second fuzzy subset icorresponding relation between correction value; Further, in fuzzy control table, configure the fuzzy differential calculus COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised in the first fuzzy subset, fuzzy filament voltage deviation variation rate Ec and the second fuzzy subset dcorresponding relation between correction value.
Based on technique scheme, in the embodiment of the present invention, at the controling parameters (Proportional coefficient K of PID controller p, integral coefficient K iwith differential coefficient K d) set after, controling parameters correction value can be utilized to revise controling parameters, revised controling parameters is utilized to obtain voltage output value, voltage output value is utilized to control heater current, therefore the controling parameters of PID controller can change according to real time status, when voltage is undergone mutation, revised controling parameters can meet control overflow, PID controller is made to can be good at controlling heater current, heater current is made to keep rapidity in filament preparatory stage and filament exposure stage, stationarity, accuracy, reliability, real-time and antijamming capability stronger, there is good dynamic and static state performance, and then improve the Static and dynamic performance of tube current, improve picture quality.
Below in conjunction with concrete application scenarios, the technical scheme of the embodiment of the present invention is described in detail.
As shown in Figure 2, be the structural representation of the fuzzy controller that the embodiment of the present invention proposes, this fuzzy controller is by obfuscation, and fuzzy reasoning, the functional module such as defuzzification and PID controller is formed.Based on filament voltage deviation E, filament voltage deviation variation rate Ec and Proportional coefficient K pcorrection value, integral coefficient K icorrection value, differential coefficient K dfuzzy relation between correction value, in running, based on current the filament voltage deviation E, the filament voltage deviation variation rate Ec that obtain, can obtain the Proportional coefficient K adapted to it pcorrection value, integral coefficient K icorrection value, differential coefficient K dcorrection value, and the Proportional coefficient K utilizing current acquisition pcorrection value, integral coefficient K icorrection value, differential coefficient K dcorrection value comparative example COEFFICIENT K p, integral coefficient K iwith differential coefficient K dcarry out online modification, to meet different filament voltage deviation E and filament voltage deviation variation rate Ec comparative example COEFFICIENT K p, integral coefficient K iwith differential coefficient K ddifferent requirements, thus make heater current have good dynamic property and static properties.
As shown in Figure 3, be the schematic flow sheet of the control method of heater current proposed in the embodiment of the present invention, the method can be applied on fuzzy controller, and the method specifically can comprise the following steps:
Step 301, obtains voltage input levels, and utilizes this voltage input levels calculating voltage running parameter.
Wherein, voltage input levels can be the numerical value of reference voltage Vref, the numerical value of reference voltage Vref is the heater current reference voltage of the actual corresponding conditions of exposure of high pressure generator, when user is after application interface completes the setting operation of conditions of exposure, the filament preparatory stage before pressing rim brake exposure, master control borad can input to heater chain according to the reference voltage Vref value of correspondence.
Wherein, voltage variation parameter is specially filament voltage deviation E (being also called system deviation), filament voltage deviation variation rate Ec (being also called system deviation rate of change).Filament voltage deviation E is the deviation between voltage input levels and voltage output value (i.e. feedback voltage V out introduces the procurement process of voltage output value in subsequent process).Filament voltage deviation variation rate Ec is the rate of change of the deviation between voltage input levels and voltage output value, and the deviation namely between voltage input levels and voltage output value is to the result of time differentiate.
In fig. 2, reference voltage Vref and feedback voltage V out all point to the device that is done difference operation, by this device, difference operation is done to reference voltage Vref and feedback voltage V out, obtain filament voltage deviation E, this filament voltage deviation E is exported to obfuscation functional module and PID controller, and the filament voltage deviation E exporting to PID controller can use in subsequent step 306.In addition, filament voltage deviation E is exported to differentiate device (d/dt namely in figure), by differentiate device, filament voltage deviation E is carried out differentiate process to the time, obtain filament voltage deviation variation rate Ec, this filament voltage deviation variation rate Ec is exported to obfuscation functional module and PID controller, and the filament voltage deviation variation rate Ec exporting to PID controller can use in subsequent step 306.In addition, when carrying out differentiate process to the time, its unit is generally millisecond.
Step 302, carries out Fuzzy processing to voltage variation parameter, obtains fuzzy voltage variation parameter.
Wherein, Fuzzy processing can be carried out by obfuscation functional module to voltage variation parameter.Fuzzy voltage variation parameter is specially fuzzy filament voltage deviation E, fuzzy filament voltage deviation variation rate Ec.
Step 303, utilizes fuzzy voltage variation parameter to inquire about pre-configured fuzzy control table, obtains the fuzzy control parameter correction value that this fuzzy voltage variation parameter is corresponding.Wherein, this pre-configured fuzzy control table is for recording the corresponding relation between fuzzy voltage variation parameter and fuzzy control parameter correction value.
Wherein, fuzzy voltage variation parameter can be utilized to inquire about pre-configured fuzzy control table by fuzzy reasoning functional module, obtain the fuzzy control parameter correction value that this fuzzy voltage variation parameter is corresponding.
Step 304, carries out ambiguity solution process to fuzzy control parameter correction value, obtains controling parameters correction value.
Wherein, ambiguity solution process can be carried out by defuzzification function module to fuzzy control parameter correction value.
Wherein, fuzzy control parameter correction value is specifically as follows fuzzy proportional COEFFICIENT K pcorrection value (Δ K p), fuzzy integral COEFFICIENT K icorrection value (Δ K i), fuzzy differential calculus COEFFICIENT K dcorrection value (Δ K d).Correspondingly, controling parameters is specifically as follows Proportional coefficient K p, integral coefficient K iwith differential coefficient K d.
In the embodiment of the present invention, safeguard the process of the fuzzy control table for recording the corresponding relation between fuzzy voltage variation parameter and fuzzy control parameter correction value, specifically can include but not limited to as under type: the excursion determining voltage variation parameter, and utilize the excursion of this voltage variation parameter to determine the first basic domain that this voltage variation parameter is corresponding, and determine the first fuzzy domain that this first basic domain is corresponding, and determine the first fuzzy subset that this first fuzzy domain is corresponding, the fuzzy voltage variation parameter that this voltage variation parameter is corresponding is comprised in this first fuzzy subset.Determine the excursion of controling parameters correction value, and utilize the excursion of this controling parameters correction value to determine the second basic domain that this controling parameters correction value is corresponding, and determine the second fuzzy domain that this second basic domain is corresponding, and determine the second fuzzy subset that this second fuzzy domain is corresponding, comprise fuzzy control parameter correction value corresponding to this controling parameters correction value in this second fuzzy subset.The corresponding relation between the fuzzy control parameter correction value that comprises in the fuzzy voltage variation parameter and the second fuzzy subset that comprise in the first fuzzy subset is configured in fuzzy control table.
In the embodiment of the present invention, in fuzzy control table, configure the process of the corresponding relation between the fuzzy control parameter correction value that comprises in the fuzzy voltage variation parameter and the second fuzzy subset that comprise in the first fuzzy subset, specifically can include but not limited to as under type: in fuzzy control table, configure the fuzzy proportional COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised in the first fuzzy subset, fuzzy filament voltage deviation variation rate Ec and the second fuzzy subset pcorresponding relation between correction value; The fuzzy integral COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised in the first fuzzy subset, fuzzy filament voltage deviation variation rate Ec and the second fuzzy subset is configured in fuzzy control table icorresponding relation between correction value; The fuzzy differential calculus COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised in the first fuzzy subset, fuzzy filament voltage deviation variation rate Ec and the second fuzzy subset is configured in fuzzy control table dcorresponding relation between correction value.
Be described in detail below in conjunction with the maintenance process of a kind of embody rule to fuzzy control table.
Under this application scene, the fuzzy set of input variable (i.e. voltage variation parameter), output variable (i.e. controling parameters correction value) is defined as { NB, NM by fuzzy controller, NS, ZO, PS, PM, PB}, it is { negative large that its implication is respectively, in negative, negative little, zero, just little, center, honest, actual domain corresponds to {-6,6}.As shown in Figure 4, be the linguistic variable schematic diagram of obfuscation, obfuscation specifically divides as follows: honest (PB) value is 5, near 6, negative large (NB) value is near-5 ,-6, center (PM) value is 3, near 4, and in negative, (NM) value is-3, near-4, just little (PS) value is 1, near 2, and negative little (NS) value is-1, near-2, zero (ZO) value is near 0.Wherein, the abscissa of this linguistic variable schematic diagram is the value of fuzzy domain, and ordinate represents the confidence level of each value, and 1 in ordinate represents that confidence level is 100%.Such as, when the value of fuzzy domain is-6, then corresponding fuzzy value is the confidence level of NB is 1, and namely the confidence level of the corresponding fuzzy value NB of value-6 is 100%.
Under this application scene, the excursion of filament voltage deviation E is-0.3 to 0.3, and basic domain corresponding to filament voltage deviation E is [-0.3,0.3], and fuzzy domain is {-6,-5 ,-4 ,-3 ,-2,-1,0,1,2,3,4,5,6}, fuzzy subset is { NB, NM, NS, ZO, PS, PM, PB}, the numerical value comprised in this fuzzy subset is fuzzy filament voltage deviation E.The excursion of filament voltage deviation variation rate Ec is-1 to 1, and basic domain corresponding to filament voltage deviation variation rate Ec is [-1,1], and fuzzy domain is {-6,-5 ,-4 ,-3 ,-2,-1,0,1,2,3,4,5,6}, fuzzy subset is { NB, NM, NS, ZO, PS, PM, PB}, the numerical value comprised in this fuzzy subset is fuzzy filament voltage deviation variation rate Ec.Proportional coefficient K pthe excursion of correction value is-1.5 to 1.5, and Proportional coefficient K pbasic domain corresponding to correction value is [-1.5,1.5], and fuzzy domain is that {-6 ,-5 ,-4 ,-3 ,-2 ,-1,0,1,2,3,4,5,6}, fuzzy subset is that { NB, NM, NS, ZO, PS, PM, PB}, the numerical value comprised in this fuzzy subset is fuzzy proportional COEFFICIENT K pcorrection value.Integral coefficient K ithe excursion of correction value is-0.03 to 0.03, and integral coefficient K ibasic domain corresponding to correction value is [-0.03,0.03], and fuzzy domain is that {-6 ,-5 ,-4 ,-3 ,-2 ,-1,0,1,2,3,4,5,6}, fuzzy subset is that { NB, NM, NS, ZO, PS, PM, PB}, the numerical value comprised in this fuzzy subset is fuzzy integral COEFFICIENT K icorrection value.Differential coefficient K dthe excursion of correction value is-0.3 to 0.3, and fuzzy differential calculus COEFFICIENT K dbasic domain corresponding to correction value is [-0.3,0.3], and fuzzy domain is that {-6 ,-5 ,-4 ,-3 ,-2 ,-1,0,1,2,3,4,5,6}, fuzzy subset is that { NB, NM, NS, ZO, PS, PM, PB}, the numerical value comprised in this fuzzy subset is fuzzy differential calculus COEFFICIENT K dcorrection value.
Based on each fuzzy subset, according to practical experience, fuzzy filament voltage deviation E, fuzzy filament voltage deviation variation rate Ec and fuzzy proportional COEFFICIENT K can be configured in fuzzy control table pcorrection value, fuzzy integral COEFFICIENT K icorrection value, fuzzy differential calculus COEFFICIENT K dcorresponding relation between correction value.Fuzzy filament voltage deviation E, fuzzy filament voltage deviation variation rate Ec and fuzzy proportional COEFFICIENT K can be configured in a fuzzy control table simultaneously pcorrection value, fuzzy integral COEFFICIENT K icorrection value, fuzzy differential calculus COEFFICIENT K dcorresponding relation between correction value.Or, at Δ K pconfiguration fuzzy filament voltage deviation E, fuzzy filament voltage deviation variation rate Ec and fuzzy proportional COEFFICIENT K in fuzzy control rule table (the one application of fuzzy control table) pcorresponding relation between correction value, as shown in Figure 5A.At Δ K iconfiguration fuzzy filament voltage deviation E, fuzzy filament voltage deviation variation rate Ec and fuzzy integral COEFFICIENT K in fuzzy control rule table (the one application of fuzzy control table) icorresponding relation between correction value, as shown in Figure 5 B.At Δ K dconfiguration fuzzy filament voltage deviation E, fuzzy filament voltage deviation variation rate Ec and fuzzy differential calculus COEFFICIENT K in fuzzy control rule table (the one application of fuzzy control table) dcorresponding relation between correction value, as shown in Figure 5 C.
For step 302, after obtaining filament voltage deviation E and filament voltage deviation variation rate Ec, because filament voltage deviation E and filament voltage deviation variation rate Ec is precise volume, and fuzzy reasoning carries out for fuzzy quantity, therefore, need to carry out Fuzzy processing to filament voltage deviation E and filament voltage deviation variation rate Ec, obtain fuzzy filament voltage deviation E and fuzzy filament voltage deviation variation rate Ec.
In Fuzzy processing process, according to information such as the quantification gradation of the excursion determination filament voltage deviation E of filament voltage deviation E, scale factor and quantizing factors, and suitable membership function can be selected, then filament voltage deviation E is converted to fuzzy filament voltage deviation E, and fuzzy filament voltage deviation E is fuzzy subset { NB, NM, NS, ZO, PS, a value in PM, PB}, as value NB.Can according to information such as the quantification gradation of the excursion determination filament voltage deviation variation rate Ec of filament voltage deviation variation rate Ec, scale factor and quantizing factors, and select suitable membership function, then filament voltage deviation variation rate Ec is converted to fuzzy filament voltage deviation variation rate Ec, and fuzzy filament voltage deviation variation rate Ec is fuzzy subset { NB, NM, NS, ZO, PS, PM, a value in PB}, as value NB.For the detail of Fuzzy processing, repeat no more in the embodiment of the present invention.
For step 303, after obtaining fuzzy filament voltage deviation E and fuzzy filament voltage deviation variation rate Ec, fuzzy reasoning can be carried out according to pre-configured fuzzy control table, find the fuzzy proportional COEFFICIENT K that fuzzy filament voltage deviation E and fuzzy filament voltage deviation variation rate Ec is corresponding pcorrection value (Δ K p), fuzzy integral COEFFICIENT K icorrection value (Δ K i), fuzzy differential calculus COEFFICIENT K dcorrection value (Δ K d).
Such as, by the Δ K shown in fuzzy filament voltage deviation E (NB) and fuzzy filament voltage deviation variation rate Ec (NB) query graph 5A pfuzzy control rule table, can obtain corresponding fuzzy proportional COEFFICIENT K pcorrection value (Δ K p) be PB.By the Δ K shown in fuzzy filament voltage deviation E (NB) and fuzzy filament voltage deviation variation rate Ec (NB) query graph 5B ifuzzy control rule table, can obtain corresponding fuzzy integral COEFFICIENT K icorrection value (Δ K i) be NB.By the Δ K shown in fuzzy filament voltage deviation E (NB) and fuzzy filament voltage deviation variation rate Ec (NB) query graph 5C dfuzzy control rule table, can obtain corresponding fuzzy differential calculus COEFFICIENT K dcorrection value (Δ K d) be PS.
For step 304, obtaining fuzzy proportional COEFFICIENT K pcorrection value (Δ K p), fuzzy integral COEFFICIENT K icorrection value (Δ K i), fuzzy differential calculus COEFFICIENT K dcorrection value (Δ K d) after, due to fuzzy proportional COEFFICIENT K pcorrection value (Δ K p), fuzzy integral COEFFICIENT K icorrection value (Δ K i), fuzzy differential calculus COEFFICIENT K dcorrection value (Δ K d) be fuzzy quantity, and during subsequent calculations, need to use precise volume, therefore, need fuzzy proportional COEFFICIENT K pcorrection value (Δ K p), fuzzy integral COEFFICIENT K icorrection value (Δ K i), fuzzy differential calculus COEFFICIENT K dcorrection value (Δ K d) carry out ambiguity solution process, obtain accurate Proportional coefficient K pcorrection value (Δ K p), integral coefficient K icorrection value (Δ K i), differential coefficient K dcorrection value (Δ K d).
Wherein, ambiguity solution process is the inverse operation of the Fuzzy processing in step 302, does not repeat them here.
Step 305, utilizes controling parameters correction value to revise controling parameters.
Wherein, controling parameters can be Proportional coefficient K p, integral coefficient K iwith differential coefficient K d.Revised Proportional coefficient K pfor the proportionality coefficient before correction and proportionality coefficient correction value (Δ K p) sum, revised integral coefficient K ifor the integral coefficient before correction and integral coefficient correction value (Δ K i) sum, revised differential coefficient K dfor the differential coefficient before correction and differential coefficient correction value (Δ K d) sum.
Wherein, Proportional coefficient K p, integral coefficient K iwith differential coefficient K dinitial value determined by the characteristic of control system, generally rule of thumb and test effect pre-set, in running afterwards, constantly use current proportionality coefficient correction value (the Δ K obtained p) comparative example COEFFICIENT K previse, use integral coefficient correction value (Δ K i) to integral coefficient K irevise, use differential coefficient correction value (Δ K d) to differential coefficient K drevise.
Based on said process, comparative example COEFFICIENT K can be realized p, integral coefficient K iwith differential coefficient K ddeng the on-line tuning of controling parameters, and then the Based Intelligent Control to heater current can be realized.
Step 306, utilizes revised controling parameters to obtain voltage output value (Vout).
In the embodiment of the present invention, utilize revised controling parameters to obtain the process of voltage output value (Vout), specifically can include but not limited to as under type: utilize following formulae discovery voltage output value:
u ( k ) = K p E ( k ) + K i Σ j = 0 k E ( j ) + K d E c ( k ) ;
Wherein, u (k) is the filament voltage output valve of kth time sampling instant, and k is sampling sequence number, and E (k) is the filament voltage deviation variation rate of the filament voltage deviation of kth time sampling instant, time sampling instant of Ec (k) kth, K pfor revised proportionality coefficient, and K pfor the proportionality coefficient before correction and proportionality coefficient correction value sum, K ifor revised integral coefficient, and K ifor the integral coefficient before correction and integral coefficient correction value sum, K dfor revised differential coefficient, and K dfor the differential coefficient before correction and differential coefficient correction value sum.
Step 307, utilizes this voltage output value (Vout) to control heater current.
Wherein, controling parameters correction value can be utilized to revise controling parameters by PID controller, revised controling parameters is utilized to obtain voltage output value, utilize voltage output value to control heater current, and PID controller adopt the discrete pid control algorithm shown in above-mentioned formula to obtain voltage output value.
As shown in Figure 6, be structural representation that fuzzy controller controls heater current.Based on voltage output value (Vout), PWM (PulseWidthModulation can be carried out, pulse width modulation) signal controlling, obtain four road PWM initial driving signal, be respectively PWM1 initial driving signal, PWM2 initial driving signal, PWM3 initial driving signal and PWM4 initial driving signal, and the duty ratio of pwm signal is adjusted in real time according to operation result, and by PWM1 initial driving signal, PWM2 initial driving signal, PWM3 initial driving signal and PWM4 initial driving signal export to heater chain respectively, to control the heater current of heater chain, concrete control mode does not repeat them here.
In the embodiment of the present invention, fuzzy controller can also detect the value of feedback of heater current, after the value of feedback of heater current exceeds filament restriction, then provides alarm signal, and information value of feedback being exceeded filament restriction sends to master control borad, stop exposure output procedure to control master control borad.
In actual applications, TMS320F2812DSP (DigitalSignalProcessing can be selected, Digital Signal Processing) control chip realizes the correlation function of fuzzy controller, process and the pulse duration of real-time change four road pwm signal, thus regulate the voltage output value of heater chain, reach and make output more stable, the object accurately controlled.Wherein, TMS320F2812DSP control chip can comprise following functional module: DSP function initialization module, for completing the initialization of the functions such as dsp system clock, timer, register, interruption, A/D port, PWM port.Fuzzy controller, described its function in detail in above process, at this, it is no longer repeated.Signals collecting and digital filtering module, for gathering command signal and feedback signal, and the excessive value that elimination collects.PWM duty ratio calculates and distribution module, for calculating the duty ratio of pulse-width signal PWM1-PWM4, load comparand register parameter, and output pwm signal (i.e. PWM1 initial driving signal, PWM2 initial driving signal, PWM3 initial driving signal and PWM4 initial driving signal).
Based on technique scheme, in the embodiment of the present invention, at the controling parameters (Proportional coefficient K of PID controller p, integral coefficient K iwith differential coefficient K d) set after, controling parameters correction value can be utilized to revise controling parameters, revised controling parameters is utilized to obtain voltage output value, voltage output value is utilized to control heater current, therefore the controling parameters of PID controller can change according to real time status, when voltage is undergone mutation, revised controling parameters can meet control overflow, PID controller is made to can be good at controlling heater current, heater current is made to keep rapidity in filament preparatory stage and filament exposure stage, stationarity, accuracy, reliability, real-time and antijamming capability stronger, there is good dynamic and static state performance, and then improve the Static and dynamic performance of tube current, improve picture quality.The response time of heater current is faster, and overshoot is less, well meets rapidity and stability requirement.Contrast simulation result schematic diagram as shown in Figure 7, compared with the response time (thick line that the granularity in Fig. 7 is longer) controlled with existing heater current, the response time (fine rule that the granularity in Fig. 7 is shorter) that heater current in the embodiment of the present invention controls is faster, overshoot is less, well meets rapidity and stability requirement.
Based on the inventive concept same with said method, additionally provide a kind of control device of heater current in the embodiment of the present invention, as shown in Figure 8, the control device of described heater current specifically comprises:
Computing module 11, for obtaining voltage input levels, and utilizes voltage input levels calculating voltage running parameter;
First obtains module 12, obtains controling parameters correction value for utilizing described voltage variation parameter;
Processing module 13, revises controling parameters for utilizing described controling parameters correction value;
Second obtains module 14, obtains voltage output value for utilizing revised controling parameters;
Control module 15, controls heater current for utilizing described voltage output value.
In the embodiment of the present invention, described voltage variation parameter specifically comprises: filament voltage deviation E and/or filament voltage deviation variation rate Ec; Described controling parameters specifically comprises one of following or combination in any: Proportional coefficient K p, integral coefficient K iwith differential coefficient K d.
Described second obtains module 14, specifically for utilizing described revised controling parameters to obtain in the process of voltage output value, utilizes voltage output value described in following formulae discovery:
u ( k ) = K p E ( k ) + K i Σ j = 0 k E ( j ) + K d E c ( k ) ;
Wherein, u (k) is the filament voltage output valve of kth time sampling instant, and k is sampling sequence number, and E (k) is the filament voltage deviation variation rate of the filament voltage deviation of kth time sampling instant, time sampling instant of Ec (k) kth, K pfor revised proportionality coefficient, and K pfor the proportionality coefficient before correction and proportionality coefficient correction value sum, K ifor revised integral coefficient, and K ifor the integral coefficient before correction and integral coefficient correction value sum, K dfor revised differential coefficient, and K dfor the differential coefficient before correction and differential coefficient correction value sum.
Described first obtains module 12, specifically for utilizing described voltage variation parameter to obtain in the process of controling parameters correction value, carrying out Fuzzy processing, obtain fuzzy voltage variation parameter to described voltage variation parameter; Utilizing described fuzzy voltage variation parameter inquiry for recording the fuzzy control table of the corresponding relation of fuzzy voltage variation parameter and fuzzy control parameter correction value, obtaining corresponding fuzzy control parameter correction value; Ambiguity solution process is carried out to described fuzzy control parameter correction value, obtains controling parameters correction value.
Described first obtains module 12, specifically in the process of fuzzy control table safeguarding the corresponding relation for recording fuzzy voltage variation parameter and fuzzy control parameter correction value, determine the excursion of voltage variation parameter, the excursion of described voltage variation parameter is utilized to determine the first basic domain that described voltage variation parameter is corresponding, determine the first fuzzy domain that the described first basic domain is corresponding, determine the first fuzzy subset that described first fuzzy domain is corresponding, the fuzzy voltage variation parameter that described voltage variation parameter is corresponding is comprised in described first fuzzy subset, determine the excursion of controling parameters correction value, the excursion of described controling parameters correction value is utilized to determine the second basic domain that described controling parameters correction value is corresponding, determine the second fuzzy domain that the described second basic domain is corresponding, determine the second fuzzy subset that described second fuzzy domain is corresponding in described second fuzzy subset, to comprise fuzzy control parameter correction value corresponding to described controling parameters correction value, the corresponding relation between the fuzzy control parameter correction value that comprises in the fuzzy voltage variation parameter and described second fuzzy subset that comprise in described first fuzzy subset is configured in described fuzzy control table.
Described first obtains module 12, specifically for configuring the process of the corresponding relation between the fuzzy control parameter correction value that comprises in the fuzzy voltage variation parameter and described second fuzzy subset that comprise in described first fuzzy subset in described fuzzy control table, when described fuzzy voltage variation parameter is fuzzy filament voltage deviation E and fuzzy filament voltage deviation variation rate Ec, and described fuzzy control parameter correction value is fuzzy proportional COEFFICIENT K pcorrection value, fuzzy integral COEFFICIENT K icorrection value, fuzzy differential calculus COEFFICIENT K dduring correction value, then in described fuzzy control table, configure in described first fuzzy subset the fuzzy proportional COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset pcorresponding relation between correction value; And in described fuzzy control table, configure in described first fuzzy subset the fuzzy integral COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset icorresponding relation between correction value; And in described fuzzy control table, configure in described first fuzzy subset the fuzzy differential calculus COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset dcorresponding relation between correction value.
Wherein, the modules of apparatus of the present invention can be integrated in one, and also can be separated deployment.Above-mentioned module can merge into a module, also can split into multiple submodule further.
Through the above description of the embodiments, those skilled in the art can be well understood to the mode that the present invention can add required general hardware platform by software and realize, and can certainly pass through hardware, but in a lot of situation, the former is better execution mode.Based on such understanding, technical scheme of the present invention can embody with the form of software product the part that prior art contributes in essence in other words, this computer software product is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform method described in each embodiment of the present invention.It will be appreciated by those skilled in the art that accompanying drawing is the schematic diagram of a preferred embodiment, the module in accompanying drawing or flow process might not be that enforcement the present invention is necessary.
It will be appreciated by those skilled in the art that the module in the device in embodiment can carry out being distributed in the device of embodiment according to embodiment description, also can carry out respective change and be arranged in the one or more devices being different from the present embodiment.The module of above-described embodiment can merge into a module, also can split into multiple submodule further.The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
Be only several specific embodiment of the present invention above, but the present invention is not limited thereto, the changes that any person skilled in the art can think of all should fall into protection scope of the present invention.

Claims (12)

1. a control method for heater current, is characterized in that, said method comprising the steps of:
Obtain voltage input levels, and utilize described voltage input levels calculating voltage running parameter;
Described voltage variation parameter is utilized to obtain controling parameters correction value;
Described controling parameters correction value is utilized to revise controling parameters;
Revised controling parameters is utilized to obtain voltage output value;
Described voltage output value is utilized to control heater current.
2. method according to claim 1, is characterized in that, described voltage variation parameter specifically comprises: filament voltage deviation E and/or filament voltage deviation variation rate Ec; Described controling parameters specifically comprises one of following or combination in any: Proportional coefficient K p, integral coefficient K iwith differential coefficient K d.
3. method according to claim 2, is characterized in that, the described process utilizing revised controling parameters to obtain voltage output value, specifically comprises: utilize following formulae discovery voltage output value:
u ( k ) = K p E ( k ) + K i Σ j = 0 k E ( j ) + K d E c ( k ) ;
Wherein, u (k) is the filament voltage output valve of kth time sampling instant, and k is sampling sequence number, and E (k) is the filament voltage deviation variation rate of the filament voltage deviation of kth time sampling instant, time sampling instant of Ec (k) kth, K pfor revised proportionality coefficient, and K pfor the proportionality coefficient before correction and proportionality coefficient correction value sum, K ifor revised integral coefficient, and K ifor the integral coefficient before correction and integral coefficient correction value sum, K dfor revised differential coefficient, and K dfor the differential coefficient before correction and differential coefficient correction value sum.
4. the method according to any one of claim 1-3, is characterized in that, the described process utilizing described voltage variation parameter to obtain controling parameters correction value, specifically comprises:
Fuzzy processing is carried out to described voltage variation parameter, obtains fuzzy voltage variation parameter;
Utilizing described fuzzy voltage variation parameter inquiry for recording the fuzzy control table of the corresponding relation of fuzzy voltage variation parameter and fuzzy control parameter correction value, obtaining corresponding fuzzy control parameter correction value;
Ambiguity solution process is carried out to described fuzzy control parameter correction value, obtains controling parameters correction value.
5. method according to claim 4, is characterized in that, safeguarding the process of the fuzzy control table of the corresponding relation for recording fuzzy voltage variation parameter and fuzzy control parameter correction value, specifically comprising:
Determine the excursion of voltage variation parameter, and utilize the excursion of described voltage variation parameter to determine the first basic domain that described voltage variation parameter is corresponding, and determine the first fuzzy domain that the described first basic domain is corresponding, and determine the first fuzzy subset that described first fuzzy domain is corresponding, comprise the fuzzy voltage variation parameter that described voltage variation parameter is corresponding in described first fuzzy subset;
Determine the excursion of controling parameters correction value, and utilize the excursion of described controling parameters correction value to determine the second basic domain that described controling parameters correction value is corresponding, and determine the second fuzzy domain that the described second basic domain is corresponding, and determine the second fuzzy subset that described second fuzzy domain is corresponding, comprise fuzzy control parameter correction value corresponding to described controling parameters correction value in described second fuzzy subset;
The corresponding relation between the fuzzy control parameter correction value that comprises in the fuzzy voltage variation parameter and described second fuzzy subset that comprise in described first fuzzy subset is configured in described fuzzy control table.
6. method according to claim 5, it is characterized in that, the described process configuring corresponding relation between the fuzzy control parameter correction value that comprises in the fuzzy voltage variation parameter and described second fuzzy subset that comprise in described first fuzzy subset in described fuzzy control table, specifically comprises:
When described fuzzy voltage variation parameter is specially fuzzy filament voltage deviation E and fuzzy filament voltage deviation variation rate Ec, and described fuzzy control parameter correction value is specially fuzzy proportional COEFFICIENT K pcorrection value, fuzzy integral COEFFICIENT K icorrection value, fuzzy differential calculus COEFFICIENT K dduring correction value, then in described fuzzy control table, configure in described first fuzzy subset the fuzzy proportional COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset pcorresponding relation between correction value; And in described fuzzy control table, configure in described first fuzzy subset the fuzzy integral COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset icorresponding relation between correction value; And in described fuzzy control table, configure in described first fuzzy subset the fuzzy differential calculus COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset dcorresponding relation between correction value.
7. a control device for heater current, is characterized in that, described device specifically comprises:
Computing module, for obtaining voltage input levels, and utilizes voltage input levels calculating voltage running parameter;
First obtains module, obtains controling parameters correction value for utilizing described voltage variation parameter;
Processing module, revises controling parameters for utilizing described controling parameters correction value;
Second obtains module, obtains voltage output value for utilizing revised controling parameters;
Control module, controls heater current for utilizing described voltage output value.
8. device according to claim 7, is characterized in that, described voltage variation parameter specifically comprises: filament voltage deviation E and/or filament voltage deviation variation rate Ec; Described controling parameters specifically comprises one of following or combination in any: Proportional coefficient K p, integral coefficient K iwith differential coefficient K d.
9. device according to claim 8, is characterized in that,
Described second obtains module, specifically for utilizing described revised controling parameters to obtain in the process of voltage output value, utilizes voltage output value described in following formulae discovery:
u ( k ) = K p E ( k ) + K i Σ j = 0 k E ( j ) + K d E c ( k ) ;
Wherein, u (k) is the filament voltage output valve of kth time sampling instant, and k is sampling sequence number, and E (k) is the filament voltage deviation variation rate of the filament voltage deviation of kth time sampling instant, time sampling instant of Ec (k) kth, K pfor revised proportionality coefficient, and K pfor the proportionality coefficient before correction and proportionality coefficient correction value sum, K ifor revised integral coefficient, and K ifor the integral coefficient before correction and integral coefficient correction value sum, K dfor revised differential coefficient, and K dfor the differential coefficient before correction and differential coefficient correction value sum.
10. the device according to any one of claim 7-9, is characterized in that,
Described first obtains module, specifically for utilizing described voltage variation parameter to obtain in the process of controling parameters correction value, carrying out Fuzzy processing, obtain fuzzy voltage variation parameter to described voltage variation parameter; Utilizing described fuzzy voltage variation parameter inquiry for recording the fuzzy control table of the corresponding relation of fuzzy voltage variation parameter and fuzzy control parameter correction value, obtaining corresponding fuzzy control parameter correction value; Ambiguity solution process is carried out to described fuzzy control parameter correction value, obtains controling parameters correction value.
11. devices according to claim 10, is characterized in that,
Described first obtains module, specifically in the process of fuzzy control table safeguarding the corresponding relation for recording fuzzy voltage variation parameter and fuzzy control parameter correction value, determine the excursion of voltage variation parameter, the excursion of described voltage variation parameter is utilized to determine the first basic domain that described voltage variation parameter is corresponding, determine the first fuzzy domain that the described first basic domain is corresponding, determine the first fuzzy subset that described first fuzzy domain is corresponding in described first fuzzy subset, to comprise the fuzzy voltage variation parameter that described voltage variation parameter is corresponding; Determine the excursion of controling parameters correction value, the excursion of described controling parameters correction value is utilized to determine the second basic domain that described controling parameters correction value is corresponding, determine the second fuzzy domain that the described second basic domain is corresponding, determine the second fuzzy subset that described second fuzzy domain is corresponding in described second fuzzy subset, to comprise fuzzy control parameter correction value corresponding to described controling parameters correction value; The corresponding relation between the fuzzy control parameter correction value that comprises in the fuzzy voltage variation parameter and described second fuzzy subset that comprise in described first fuzzy subset is configured in described fuzzy control table.
12. devices according to claim 11, is characterized in that,
Described first obtains module, specifically for configuring in the process of the corresponding relation between the fuzzy control parameter correction value that comprises in the fuzzy voltage variation parameter and described second fuzzy subset that comprise in described first fuzzy subset in described fuzzy control table, when described fuzzy voltage variation parameter is fuzzy filament voltage deviation E and fuzzy filament voltage deviation variation rate Ec, and described fuzzy control parameter correction value is fuzzy proportional COEFFICIENT K pcorrection value, fuzzy integral COEFFICIENT K icorrection value, fuzzy differential calculus COEFFICIENT K dduring correction value, then in described fuzzy control table, configure in described first fuzzy subset the fuzzy proportional COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset pcorresponding relation between correction value; And in described fuzzy control table, configure in described first fuzzy subset the fuzzy integral COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset icorresponding relation between correction value; And in described fuzzy control table, configure in described first fuzzy subset the fuzzy differential calculus COEFFICIENT K comprised in the fuzzy filament voltage deviation E comprised, fuzzy filament voltage deviation variation rate Ec and described second fuzzy subset dcorresponding relation between correction value.
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