CN109728585B - Power spring, power supply circuit structure and algorithm based on fuzzy control rule factor - Google Patents
Power spring, power supply circuit structure and algorithm based on fuzzy control rule factor Download PDFInfo
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- 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
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Abstract
The invention relates to a fuzzy control rule factor-based power spring, which comprises a main control circuit, a control switch circuit, a voltage-regulating inverter circuit, a filter circuit, a reactive power compensation switching switch, a charge-discharge control circuit, a voltage transformer, a current transformer, a compensation capacitor bank, a reactor bank and a storage battery bank, wherein the compensation capacitor bank and the reactor bank are respectively and electrically connected with the reactive power compensation switching switch through the filter circuit, the storage battery bank is electrically connected with the voltage-regulating inverter circuit through the charge-discharge control circuit, and the voltage-regulating inverter circuit is further electrically connected with the control switch circuit through the filter circuit. On one hand, the invention greatly simplifies and standardizes the circuit structure and the circuit connection relation, is convenient for improving the working efficiency of circuit, maintenance and management operation and reducing the working cost, on the other hand, the power spring equipment has strong circuit compensation and adjustment capability and high operation control precision, and can effectively realize the compensation of multiple parameters such as voltage, current, power factor and the like on a power grid.
Description
Technical Field
The invention relates to an electric power compensation and circuit equipment structure and control prevention, belonging to the technical field of power transmission and transformation equipment.
Background
In micro-grids or distribution networks, the voltage fluctuation of the power grid is very frequent, especially in micro-grids, the proportion of the electric energy generated by renewable energy sources gradually rises, the intermittent nature of the renewable energy sources can cause the voltage fluctuation of the power grid, although a large power grid has a certain self-regulation capacity for the fluctuation, the regulation capacity of the micro-grid powered by the renewable energy sources is very weak, for some electric equipment, the voltage fluctuation can have adverse effects on the micro-grid or the distribution network, in severe cases, even key electric equipment extremely sensitive to the voltage can be damaged, such as medical equipment used for monitoring the state of patients in hospitals, the input voltage has very strict requirements, and the out-of-range voltage fluctuation can lead to operation faults of the equipment and even misjudgment of doctors, endangering the lives of the patients. With the gradual rise in the proportion of renewable energy generated in the future and the popularity of micro-grids, voltage fluctuations will become more common.
Therefore, a Xu Shuyuan teaching team at hong Kong university proposes a device capable of stabilizing key load voltage fluctuation, which extends the concept of a physical spring to the field of power electronics, namely a power spring, so that the amount of consumed power at the load side can be changed according to the change of the power generation amount at the power grid side, the power supply mode of the traditional power grid is changed, and the intermittent problem of renewable energy sources is solved.
However, the design of the controller of the related power spring in the literature is still basically in the field of traditional control theory, and modeling analysis is required to be performed on a circuit model including power grid supply, circuit load type, parameters of each part of the circuit and inverter parameters, and then calculation is performed to obtain specific parameters of the controller, such as PID control and quasi PR control, but the implementation is not practical for the application of the power spring in real life, because the calculation of parameters of the actual circuit is performed to obtain suitable controller parameters when the power spring is impossible to apply, and moreover, in actual production life, certain circuit parameters are difficult to measure or cannot be measured or are time-varying, so that the defects of the traditional controller are revealed.
Therefore, in view of this current situation, there is an urgent need to develop a new power spring device and a control method thereof to meet the needs of practical use.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides the explosion-proof door based on bionics, which is compared with the traditional circuit system provided with the power spring compensation, on one hand, the circuit structure and the circuit connection relation are greatly simplified and standardized, the working efficiency of circuit, maintenance and management operation is conveniently improved, the working cost is reduced, on the other hand, the power spring equipment has strong circuit compensation adjustment capability and high operation control precision, and the compensation of multiple parameters such as voltage, current and power factor on a power grid can be effectively realized, so that the stability of the operation of electric equipment is effectively ensured, and the stability and the reliability of the operation of a power grid system are also greatly improved.
In order to achieve the above object, the present invention is realized by the following technical scheme:
the utility model provides a factor power spring based on fuzzy control rule, including master control circuit, control switch circuit, voltage regulation inverter circuit, filter circuit, reactive power compensation on-off switch, charge-discharge control circuit, voltage transformer, current transformer, compensation capacitor bank, reactor group and storage battery all are at least one, and parallelly connected each other, wherein compensation capacitor bank and reactor group pass through filter circuit and reactive power compensation on-off switch respectively, storage battery group passes through charge-discharge control circuit and voltage regulation inverter circuit electrical connection, voltage regulation inverter circuit passes through filter circuit and control switch circuit in addition and is connected, master control circuit is with control switch circuit respectively, reactive power compensation on-off switch, voltage transformer, current transformer electrical connection, and voltage transformer, current transformer a plurality of, every voltage transformer and a current transformer constitute a detection group, and the detection group is at least three, each detects the group and connects each with master control circuit electrical connection each in parallel each other.
Further, the control switch circuit comprises at least four groups of switch circuits based on thyristors, and the switch circuits based on thyristors are mutually connected in parallel.
Furthermore, the main control circuit is a circuit system based on any one of an industrial single chip microcomputer and a programmable controller, and the control circuit is additionally provided with a data communication bus module and a time circuit module.
The power supply circuit based on the fuzzy control rule factor power spring comprises a power grid, a bus, critical loads, non-critical loads and a power spring based on the fuzzy control rule factor, wherein the critical loads and the non-critical loads are at least one, the critical loads and the non-critical loads form a working group, the working groups are mutually connected in parallel, the critical loads and the non-critical loads are mutually connected in parallel and are electrically connected with the power grid through the bus, the power spring based on the fuzzy control rule factor is arranged in the working group, the power spring based on the fuzzy control rule factor is connected in series with the non-critical loads and is connected in parallel with the critical loads, the power spring based on the fuzzy control rule factor is respectively electrically connected with the bus through a control switch circuit and a reactive power compensation switching switch, and a voltage transformer and a current transformer based on the fuzzy control rule factor power spring are respectively electrically connected with the bus outside the working group and are connected in parallel with the control switch circuit and the reactive power compensation switching switch.
Wherein, the critical load 104 is electric equipment with the fluctuation of the operating voltage not exceeding the rated voltage + -2%; the non-critical load 105 is a consumer having a wide voltage operating range, such as a domestic water heater, a lamp, an air conditioner, etc.
Further, in the working groups, the working groups are electrically connected with each other through a series-parallel circuit.
Furthermore, in the working group, all non-critical loads in the same working group are electrically connected through a series-parallel circuit, and only when a plurality of non-critical loads are in a series state, all the non-critical loads in series are connected with a power spring based on a fuzzy control rule factor in series.
The fuzzy control rule factor algorithm in the power supply circuit based on the fuzzy control rule factor power spring comprises the following steps:
s1, setting parameters, namely setting a control rule factor of a power spring based on a fuzzy control rule factor to be alpha, and setting a given quantity Uref to be different from a critical load voltage Ucl to generate an error signal e; the fuzzy control rule factor power spring comprises a pre-generated rule factor alpha fuzzy controller and an adjustable rule factor fuzzy controller in a data operation area of the main control circuit;
s2, data analysis, namely transmitting bus data obtained by detection of a voltage transformer and a current transformer to a main control circuit based on a fuzzy control rule factor power spring, and then respectively carrying out input operation, differential operation, quantization operation, fuzzy analysis operation, proportional operation and PWM wave generation operation on the detected data, wherein the fuzzy analysis is divided into two parts of rule factor alpha analysis and adjustable rule factor analysis, and the rule factor alpha fuzzy controller and the adjustable rule factor fuzzy controller which are set in the step S1 are respectively carried out; and the control rule factor alpha is output after the data analysis is finished and finally passes through a proportion operation link, an output result is fed back to the main control circuit, and the output result is used as a control parameter of the running state of the main control circuit driving control switch circuit and the reactive power compensation switching switch to participate in the running state adjustment operation of the power spring in the circuit running based on the fuzzy control rule factor.
Further, in the step S2, the specific flow during the data analysis is as follows:
firstly, the error signal e is subjected to a differentiation module to generate the change rate ec, one path of the error signal e and ec is quantized to obtain quantized data values K1 and K2, the quantized data values K1 and K2 are input into a rule factor alpha fuzzy controller set in the step S1, and fuzzy quantity is carried out in the rule factor alpha fuzzy controllerAnd->Calculation of the blur amount ∈>And->The operational relations are respectively:
and->Co-acting in a rule factor alpha fuzzy controller to produce an output signal +.>The expression is as follows:
outputting alpha to the fuzzy controller with the adjustable rule factor through proportional operation Ka;
then, the other path of E and EC is quantized to obtain quantized data values Ke and Kec, the quantized data values Ke and Kec are input into a fuzzy controller with adjustable factors, and fuzzy quantity E and EC are calculated in the fuzzy controller with adjustable rule factors, wherein the relation between the fuzzy quantity E and the EC is as follows:
E＝<Ke*e> (4)
EC＝<Kec*ec> (5)
E. EC and α co-act in an adjustable rule factor fuzzy controller to produce an output signal U, expressed as:
u outputs U to a PWM generating module through proportional operation Ku, finally outputs PWM waves to a main control circuit of the power spring based on a fuzzy control rule factor, and the main control circuit drives and controls the operation state of the switching circuit to be adjusted according to the PWM waves;
further, in the data analysis:
(1) (2), (4) and (5) "<>"represents a blurring operation requiring the combination of input membership functions; (3) And (6) inThe fuzzy rule analysis operation is carried out on fuzzy input, and proper control rules of a fuzzy controller are required to be combined; "-" s<>"means anti-fuzzification operation, which is implemented in a rule factor α fuzzy controller by combining respective output membership functions, and expressions (1), (2) and (3), and expressions (4), (5) and (6) are implemented in an adjustable rule factor fuzzy controller.
Compared with the traditional circuit system provided with the power spring compensation, the circuit structure and the circuit connection relation are greatly simplified and standardized, the working efficiency of circuit, maintenance and management operation is improved, the working cost is reduced, the power spring equipment has strong circuit compensation adjustment capability and high operation control precision, and the compensation of multiple parameters such as voltage, current and power factors on a power grid can be effectively realized, so that the operation stability of electric equipment is effectively ensured, and the operation stability and reliability of the power grid system are also greatly improved.
Drawings
The invention is described in detail below with reference to the drawings and the detailed description.
FIG. 1 is a schematic diagram of a power spring structure according to the present invention;
FIG. 2 is a schematic diagram of a power supply circuit based on a power spring according to the present invention;
FIG. 3 is a flowchart of the step of calculating the fuzzy control rule factor of the power spring;
FIG. 4 is a flowchart of the step of calculating the fuzzy control rule factor of the power spring;
FIG. 5 is an input membership function;
FIG. 6 is a rule factor α output membership function;
FIG. 7 is a u output membership function.
Detailed Description
The invention is further described in connection with the following detailed description, in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
As shown in fig. 1, the power spring based on fuzzy control rule factors comprises a main control circuit 1, a control switch circuit 2, a voltage regulating inverter circuit 3, a filter circuit 4, a reactive power compensation switching switch 5, a charge and discharge control circuit 6, a voltage transformer 7, a current transformer 8, a compensation capacitor bank 9, a reactor bank 10 and a storage battery bank 11, wherein at least one of the compensation capacitor bank 9, the reactor bank 10 and the storage battery bank 11 is connected in parallel, the compensation capacitor bank 9 and the reactor bank 10 are respectively electrically connected with the reactive power compensation switching switch 5 through the filter circuit 4, the storage battery bank 11 is electrically connected with the voltage regulating inverter circuit 3 through the charge and discharge control circuit 6, the voltage regulating inverter circuit 3 is further electrically connected with the control switch circuit 2 through the filter circuit 4, the main control circuit 1 is respectively electrically connected with the control switch circuit 3, the reactive power compensation switching switch 5, the voltage transformer 7 and the current transformer 8, and the voltage transformer 7, and the current transformer 8 are respectively, the voltage transformer 7 and the current transformer 8 are respectively, each of the voltage transformer 7 and the current transformer 8 form a detection group, and the detection groups are respectively connected in parallel with the main control circuit 1.
The control switch circuit 2 comprises at least four groups of switch circuits based on thyristors, the switch circuits based on thyristors are connected in parallel, the main control circuit 1 is a circuit system based on any one of an industrial single chip microcomputer and a programmable controller, and the control circuit is additionally provided with a data communication bus module and a time circuit module.
As shown in fig. 2, the power supply circuit based on the fuzzy control rule factor power spring includes a power grid 101, a bus 102, a critical load 103, a non-critical load 104 and a power spring 105 based on the fuzzy control rule factor, where the critical load 103 and the non-critical load 104 are at least one, and a critical load 103 and at least one non-critical load 104 form a working group, the working groups 104 are connected in parallel, the critical load 103 and the non-critical load 104 are connected in parallel, and are electrically connected with the power grid 101 through the bus 102, a power spring 105 based on the fuzzy control rule factor is arranged in the working group, the power spring 105 based on the fuzzy control rule factor is connected in series with each non-critical load 104 and is connected in parallel with the critical load 103, and the power spring 105 based on the fuzzy control rule factor is electrically connected with the bus 102 through a control switch circuit 2 and a reactive power compensation switch 5, and the voltage transformer 7 and the current transformer 8 based on the power spring 105 are electrically connected with the bus 102 outside the working group, and are connected in parallel with the control switch circuit 2 and the reactive power compensation switch 5, respectively.
Wherein, the critical load 104 is electric equipment with the fluctuation of the operating voltage not exceeding the rated voltage + -2%; the non-critical load 105 is a consumer having a wide voltage operating range, such as a domestic water heater, a lamp, an air conditioner, etc.
Meanwhile, in the working groups, the working groups are electrically connected with each other through a series-parallel circuit, each non-critical load 104 in the same working group is electrically connected with each other through a series-parallel circuit, and only when a plurality of non-critical loads 104 are in a series state, each non-critical load 104 connected in series is connected with a power spring 105 based on a fuzzy control rule factor in series.
As shown in fig. 3-7, the fuzzy control rule factor power spring based on the fuzzy control rule factor and the fuzzy control rule factor algorithm in the power supply circuit based on the fuzzy control rule factor power spring comprise:
s1, setting parameters, namely setting a control rule factor of a power spring based on a fuzzy control rule factor to be alpha, and setting a given quantity Uref to be different from a critical load voltage Ucl to generate an error signal e; the fuzzy control rule factor power spring comprises a pre-generated rule factor alpha fuzzy controller and an adjustable rule factor fuzzy controller in a data operation area of the main control circuit;
s2, data analysis, namely transmitting bus data obtained by detection of a voltage transformer and a current transformer to a main control circuit based on a fuzzy control rule factor power spring, and then respectively carrying out input operation, differential operation, quantization operation, fuzzy analysis operation, proportional operation and PWM wave generation operation on the detected data, wherein the fuzzy analysis is divided into two parts of rule factor alpha analysis and adjustable rule factor analysis, and the rule factor alpha fuzzy controller and the adjustable rule factor fuzzy controller which are set in the step S1 are respectively carried out; and the control rule factor alpha is output after the data analysis is finished and finally passes through a proportion operation link, an output result is fed back to the main control circuit, and the output result is used as a control parameter of the running state of the main control circuit driving control switch circuit and the reactive power compensation switching switch to participate in the running state adjustment operation of the power spring in the circuit running based on the fuzzy control rule factor.
Further, in the step S2, the specific flow during the data analysis is as follows:
firstly, the error signal e is subjected to a differentiation module to generate the change rate ec, one path of the error signal e and ec is quantized to obtain quantized data values K1 and K2, the quantized data values K1 and K2 are input into a rule factor alpha fuzzy controller set in the step S1, and fuzzy quantity is carried out in the rule factor alpha fuzzy controllerAnd->Calculation of the blur amount ∈>And->The operational relations are respectively:
and->Co-acting in a rule factor alpha fuzzy controller to produce an output signal +.>The expression is as follows:
outputting alpha to the fuzzy controller with the adjustable rule factor through proportional operation Ka;
then, the other path of E and EC is quantized to obtain quantized data values Ke and Kec, the quantized data values Ke and Kec are input into a fuzzy controller with adjustable factors, and fuzzy quantity E and EC are calculated in the fuzzy controller with adjustable rule factors, wherein the relation between the fuzzy quantity E and the EC is as follows:
E＝<Ke*e> (4)
EC＝<Kec*ec> (5)
E. EC and α co-act in an adjustable rule factor fuzzy controller to produce an output signal U, expressed as:
u outputs U to a PWM generating module through proportional operation Ku, finally outputs PWM waves to a main control circuit of the power spring based on a fuzzy control rule factor, and the main control circuit drives and controls the operation state of the switching circuit to be adjusted according to the PWM waves;
further, in the data analysis:
(1) (2), (4) and (5) "<>"represents a blurring operation requiring the combination of input membership functions; (3) And (6) inThe fuzzy rule analysis operation is carried out on fuzzy input, and proper control rules of a fuzzy controller are required to be combined; "-" s<>"means anti-fuzzification operation, which is implemented in a rule factor α fuzzy controller by combining respective output membership functions, and expressions (1), (2) and (3), and expressions (4), (5) and (6) are implemented in an adjustable rule factor fuzzy controller.
Compared with the traditional circuit system provided with the power spring compensation, the circuit structure and the circuit connection relation are greatly simplified and standardized, the working efficiency of circuit, maintenance and management operation is improved, the working cost is reduced, the power spring equipment has strong circuit compensation adjustment capability and high operation control precision, and the compensation of multiple parameters such as voltage, current and power factors on a power grid can be effectively realized, so that the operation stability of electric equipment is effectively ensured, and the operation stability and reliability of the power grid system are also greatly improved.
In addition, in the formula (6), α is the output of the rule factor α fuzzy controller after the proportional link, and it can be seen that α controls the respective proportions of the input E and the EC in the adjustable rule factor fuzzy controller, and directly affects the control output, that is, the control effect. By formulating the fuzzy rule in the rule factor alpha fuzzy controller, the effect of the proportion of e and ec in the input under different input conditions can be changed. The specific meaning of the rule factor α and where attention is required are explained next.
In particular, when the system error is large, the primary task of the controller is to reduce the error, so that the control factor α is made larger a little, and the specific gravity occupied by E is made larger a little; when the error is smaller, in order to restrain the overshoot of the system, the control factor alpha is smaller, so that the overshoot of the system caused by the overlarge alpha is avoided, the system can be restrained in time when the deviation begins to appear, and the response is closed to the given value as soon as possible. It should be noted that if the output argument of the rule factor α fuzzy controller is [0,1], in order to minimize the system static error, the error or the error change rate is avoided from being excessively high, and the rule factor α fuzzy controller should not have α=0 or α=1, which should be particularly noted when making the fuzzy rule of the rule factor α fuzzy controller.
Compared with the traditional circuit system provided with the power spring compensation, the circuit structure and the circuit connection relation are greatly simplified and standardized, the working efficiency of circuit, maintenance and management operation is improved, the working cost is reduced, the power spring equipment has strong circuit compensation adjustment capability and high operation control precision, and the compensation of multiple parameters such as voltage, current and power factors on a power grid can be effectively realized, so that the operation stability of electric equipment is effectively ensured, and the operation stability and reliability of the power grid system are also greatly improved.
It will be appreciated by those skilled in the art that the invention is not limited to the embodiments described above. The foregoing embodiments and description have been presented only to illustrate the principles of the invention. The present invention is capable of various changes and modifications without departing from its spirit and scope. Such variations and modifications are intended to fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. Based on fuzzy control rule factor power spring, its characterized in that: the power spring based on the fuzzy control rule factor comprises a main control circuit, a control switch circuit, a voltage regulation inverter circuit, a filter circuit, a reactive power compensation switching switch, a charge-discharge control circuit, a voltage transformer, a current transformer, a compensation capacitor bank, a reactor bank and a storage battery bank, wherein at least one of the compensation capacitor bank, the reactor bank and the storage battery bank is connected in parallel with each other, the compensation capacitor bank and the reactor bank are respectively and electrically connected with the reactive power compensation switching switch through the filter circuit, the storage battery bank is electrically connected with the voltage regulation inverter circuit through the charge-discharge control circuit, the voltage regulation inverter circuit is further electrically connected with the control switch circuit through the filter circuit, the main control circuit is respectively and electrically connected with the control switch circuit, the reactive power compensation switching switch, the voltage transformer and the current transformer, each voltage transformer and each current transformer form a detection bank, and the detection banks are respectively connected in parallel with each other and are respectively electrically connected with the main control circuit;
and a fuzzy control rule factor algorithm in a power supply circuit including a power spring based on the fuzzy control rule factor, the fuzzy control rule factor algorithm including:
s1, setting parameters, namely setting a control rule factor of a power spring based on a fuzzy control rule factor to be alpha, and setting a given quantity Uref to be different from a critical load voltage Ucl to generate an error signal e; the fuzzy control rule factor power spring comprises a pre-generated rule factor alpha fuzzy controller and an adjustable rule factor fuzzy controller in a data operation area of the main control circuit;
s2, data analysis, namely transmitting bus data obtained by detection of a voltage transformer and a current transformer to a main control circuit based on a fuzzy control rule factor power spring, and then respectively carrying out input operation, differential operation, quantization operation, fuzzy analysis operation, proportional operation and PWM wave generation operation on the detected data, wherein the fuzzy analysis is divided into two parts of rule factor alpha analysis and adjustable rule factor analysis, and the rule factor alpha fuzzy controller and the adjustable rule factor fuzzy controller set in the step S1 are respectively operated; and the control rule factor alpha is output after the data analysis is finished and finally passes through a proportion operation link, an output result is fed back to the main control circuit, and the output result is used as a control parameter of the running state of the main control circuit driving control switch circuit and the reactive power compensation switching switch to participate in the running state adjustment operation of the power spring in the circuit running based on the fuzzy control rule factor.
2. The fuzzy control rule factor based power spring of claim 1, wherein: the control switch circuit comprises at least four groups of switch circuits based on thyristors, and the switch circuits based on thyristors are mutually connected in parallel.
3. The fuzzy control rule factor based power spring of claim 1, wherein: the main control circuit is a circuit system based on any one of an industrial single chip microcomputer and a programmable controller, and the control circuit is additionally provided with a data communication bus module and a time circuit module.
4. The power supply circuit based on the fuzzy control rule factor power spring according to claim 1, characterized in that: the power supply circuit based on the fuzzy control rule factor power spring comprises a power grid, a bus, critical loads, non-critical loads and the fuzzy control rule factor power spring, wherein the critical loads and the non-critical loads are at least one, the critical loads and the non-critical loads form a working group, the working groups are mutually connected in parallel, the critical loads and the non-critical loads are mutually connected in parallel and are electrically connected with the power grid through the bus, the fuzzy control rule factor power spring is arranged in the working group, the fuzzy control rule factor power spring is connected with the non-critical loads in series and is connected with the critical loads in parallel, the fuzzy control rule factor power spring is respectively and electrically connected with the bus through a control switch circuit and a reactive power compensation switching switch, and a voltage transformer and a current transformer based on the fuzzy control rule factor power spring are respectively and electrically connected with the bus outside the working group and are connected with the control switch circuit and the reactive power compensation switching switch in parallel.
5. The fuzzy control rule factor power spring based power supply circuit of claim 4, wherein: the key load is equipment sensitive to voltage variation; the non-critical load is a resistive device.
6. The fuzzy control rule factor power spring based power supply circuit of claim 4, wherein: in the working groups, the working groups are electrically connected with each other through a series-parallel circuit.
7. The fuzzy control rule factor power spring based power supply circuit of claim 4, wherein: in the working group, all non-critical loads in the same working group are electrically connected through a series-parallel circuit, and only when a plurality of non-critical loads are in a series state, all the non-critical loads in series are connected with a power spring in series based on a fuzzy control rule factor.
8. The fuzzy control rule factor power spring based power supply circuit of claim 4, wherein: in the step S2, the specific flow during data analysis is as follows:
firstly, the error signal e is subjected to a differentiation module to generate the change rate ec, one path of the error signal e and ec is quantized to obtain quantized data values K1 and K2, the quantized data values K1 and K2 are input into a rule factor alpha fuzzy controller set in the step S1, and fuzzy quantity is carried out in the rule factor alpha fuzzy controllerAnd->Calculation of the blur amount ∈>And->The operational relations are respectively:
and->Co-acting in a rule factor alpha fuzzy controller to produce an output signal +.>The expression is as follows:
outputting alpha to the fuzzy controller with the adjustable rule factor through proportional operation Ka;
then, the other path of E and EC is quantized to obtain quantized data values Ke and Kec, the quantized data values Ke and Kec are input into a fuzzy controller with adjustable factors, and fuzzy quantity E and EC are calculated in the fuzzy controller with adjustable rule factors, wherein the relation between the fuzzy quantity E and the EC is as follows:
E＝＜Ke*e＞ (4)
EC＝＜Kec*ec＞ (5)
E. EC and α co-act in an adjustable rule factor fuzzy controller to produce an output signal U, expressed as:
u outputs U to a PWM generating module through proportional operation Ku, finally outputs PWM waves to a main control circuit of the power spring based on a fuzzy control rule factor, and the main control circuit drives and controls the operation state of the switching circuit to be adjusted according to the PWM waves;
in the data analysis:
(1) The "<" > "in the expressions (2), (4) and (5) represents the blurring operation, requiring the combination of input membership functions; (3) And (6) inThe fuzzy rule analysis operation is carried out on fuzzy input, and proper control rules of a fuzzy controller are required to be combined; "- <" > "means that the anti-fuzzification operation is required to be performed in the rule factor α fuzzy controller in combination with the respective output membership functions, and the equations (1), (2) and (3) are performed in the adjustable rule factor fuzzy controller.
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