CN108322039B - Control system and method for fuzzy double closed loop PFC rectifier approaching to rhythmic synovial membrane change - Google Patents

Control system and method for fuzzy double closed loop PFC rectifier approaching to rhythmic synovial membrane change Download PDF

Info

Publication number
CN108322039B
CN108322039B CN201810432421.XA CN201810432421A CN108322039B CN 108322039 B CN108322039 B CN 108322039B CN 201810432421 A CN201810432421 A CN 201810432421A CN 108322039 B CN108322039 B CN 108322039B
Authority
CN
China
Prior art keywords
module
signal
output
voltage
current
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201810432421.XA
Other languages
Chinese (zh)
Other versions
CN108322039A (en
Inventor
全书海
李占鹏
张弘雨
黄亮
谢长君
李小龙
陈启宏
张立炎
石英
邓坚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuhan University of Technology WUT
Original Assignee
Wuhan University of Technology WUT
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wuhan University of Technology WUT filed Critical Wuhan University of Technology WUT
Priority to CN201810432421.XA priority Critical patent/CN108322039B/en
Publication of CN108322039A publication Critical patent/CN108322039A/en
Application granted granted Critical
Publication of CN108322039B publication Critical patent/CN108322039B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02MAPPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
    • H02M1/00Details of apparatus for conversion
    • H02M1/42Circuits or arrangements for compensating for or adjusting power factor in converters or inverters
    • H02M1/4208Arrangements for improving power factor of AC input
    • H02M1/4216Arrangements for improving power factor of AC input operating from a three-phase input voltage
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/20Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles characterised by converters located in the vehicle
    • B60L53/22Constructional details or arrangements of charging converters specially adapted for charging electric vehicles
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/02Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries for charging batteries from ac mains by converters
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02MAPPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
    • H02M1/00Details of apparatus for conversion
    • H02M1/12Arrangements for reducing harmonics from ac input or output
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02MAPPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
    • H02M1/00Details of apparatus for conversion
    • H02M1/14Arrangements for reducing ripples from dc input or output
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/72Electric energy management in electromobility
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/80Technologies aiming to reduce greenhouse gasses emissions common to all road transportation technologies
    • Y02T10/92Energy efficient charging or discharging systems for batteries, ultracapacitors, supercapacitors or double-layer capacitors specially adapted for vehicles
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/12Electric charging stations
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/14Plug-in electric vehicles
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/16Information or communication technologies improving the operation of electric vehicles

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Rectifiers (AREA)
  • Feedback Control In General (AREA)

Abstract

The control system consists of a fuzzy approach law sliding mode variable power inner loop and a voltage PI outer loop with real-time current compensation, wherein the fuzzy approach law power inner loop does not need a phase-locked loop to track the voltage phase of a three-phase power grid, the algorithm is simple, better voltage output is still maintained under the condition of coping with unbalance of the three-phase power grid, the voltage ripple of the direct current output is small, the harmonic suppression on the grid side is good, and the dynamic response is good. And when the fuzzy approach law sliding mode variable power inner loop control is adopted, the phenomenon of system buffeting can not occur when the load abrupt change is relatively large. The outer ring is controlled by voltage PI with real-time current compensation, and the dynamic performance response is good. The invention can be used for a rectification control system of the direct current charger of the electric automobile, has good dynamic performance and strong robustness, is suitable for various complicated and fluctuating power grid environments, and is suitable for various PFC rectification control circuits related to sliding mode variation control by eliminating the characteristic of sliding mode variation buffeting of a fuzzy approach law.

Description

Control system and method for fuzzy double closed loop PFC rectifier approaching to rhythmic synovial membrane change
Technical Field
The invention relates to the technical field of signal processing, in particular to a control system and a method for a fuzzy double-closed-loop PFC rectifier approaching to rhythmic synovial membrane change.
Background
The active PFC rectifier is the PFC rectification topology which is most commonly used at present, the harmonic component of the network side current is low, the power factor is high, and the voltage stress born by each power device is half of the output voltage of the direct current side. Therefore, the battery charger is widely applied to the fields of communication power supplies, new energy automobiles, and the like.
However, the rectifier control system is a nonlinear control system, and a satisfactory control effect is difficult to achieve by adopting the traditional double closed loop PI control. Particularly, when the three-phase power grid fluctuates, the harmonic component of the current at the grid side and the output voltage ripple at the direct current side cannot be effectively restrained. The sliding mode control is discontinuous nonlinear control, has high-frequency switching characteristics and has low requirements on the accuracy of the model. The sliding mode power-variable inner loop does not need phase locking of a phase-locked loop, does not need decoupling of current under a dq coordinate system, can reduce harmonic components at the network side of the system, and improves the power factor. However, the traditional sliding mode variable control adopts the exponential approach law control, when the system characteristics are changed greatly, a buffeting phenomenon is easy to generate, so that the voltage generates great overshoot and spike voltage in the load transient process, the dynamic performance of the system is destroyed, and stable and rapid PFC control cannot be provided to cope with different load grades.
Disclosure of Invention
The invention aims to solve the technical problem of providing a control system and a control method of a double-closed-loop PFC rectifier with fuzzy approaching rhythmic synovial membrane change aiming at the defects in the prior art.
The technical scheme adopted for solving the technical problems is as follows:
the invention provides a control system of a double closed loop PFC rectifier for fuzzy approximation rhythmic synovial membrane variation, which comprises: the system comprises a power conversion module, an electric automobile power battery pack, an A/D acquisition module, a master control chip SVPWM generation module, a master control chip voltage outer ring module and a master control chip fuzzy approach law synovial membrane inner ring changing module, wherein:
the three-phase power grid is connected with the input end of the power conversion module, and the two positive and negative output ends of the power conversion module are respectively connected with the two input ends of the power battery pack of the electric automobile; the electric automobile power battery pack is connected with the input end of the main control chip voltage outer ring module through the CAN communication bus; the two output ends of the main control chip voltage outer ring module are respectively connected with the two input ends of the main control chip fuzzy approach law synovium inner ring changing module, and the main control chip voltage outer ring module inputs the output inner ring given value to the main control chip fuzzy approach law synovium inner ring changing module; the A/D acquisition module is connected with a three-phase power grid through two acquisition input ends, acquires voltage and current of the three-phase power grid, two output ends of the A/D acquisition module are connected with the other two input ends of the main control chip fuzzy approach law synovial membrane inner ring changing module, and the A/D acquisition module inputs the acquired voltage and current to the main control chip fuzzy approach law synovial membrane inner ring changing module; the two output ends of the main control chip fuzzy approach law synovium inner ring changing module are connected with the two input ends of the main control chip SVPWM generating module, and the main control chip fuzzy approach law synovium inner ring changing module outputs two paths of control signals V α And V is equal to β To a master control chip SVPWM generation module; SVPWM generating module of main control chipThe output end is connected with the power conversion module, and the master control chip SVPWM generation module generates PWM control signals and outputs the PWM control signals to the power conversion module.
Furthermore, the main control chip voltage outer loop module adopts voltage PI control with real-time current compensation.
Further, the inner loop set point output by the main control chip voltage outer loop module of the invention comprises: active power given value P of fuzzy approach law synovial membrane variable inner ring ref * Reactive power setpoint Q ref *
Further, the main control chip voltage outer loop module of the invention comprises a subtracter, a first adder, a second adder, a differentiator, a first multiplier, a second multiplier, a third multiplier, a voltage outer loop given voltage module, a reactive power given module and an approach law function K i Parameter output terminal and approach law function K p A parameter output terminal; wherein:
the power battery pack of the electric automobile collects the current DC side output voltage U d With the current output current I at the current DC side d Transmitting the voltage to a main control chip voltage outer ring module through CAN communication;
the current direct current side output voltage input end and the voltage outer ring given voltage module are respectively connected with the minus end and the plus end of the subtracter, and the current direct current side output voltage U is obtained d And the voltage outer ring gives a voltage value U dref * Feeding into a subtracter;
output of subtracter and approach law function K p The parameter output end is connected with the first multiplier, the output end of the subtracter and the disclination function K i The parameter output ends are connected with the differentiators;
the output ends of the first multiplier and the differentiator are connected with a first adder;
the output end of the first adder and the current output current end of the current direct current side are connected with a second multiplier, and the output value of the first adder and the current direct current side output current I d Together fed into a second multiplier;
current dc side output voltage terminal, current dc side outputThe current ends are connected with a third multiplier to output the current DC side output voltage U d With the current output current I at the current DC side d Feeding into a third multiplier;
the output ends of the second multiplier and the third multiplier are connected with a second adder to output the output value P of the second multiplier ref And the output value P of the third multiplier now Sending the power into a second adder, wherein the output of the second adder is the active power given value P of the fuzzy approach law synovial membrane variable inner ring ref * The method comprises the steps of carrying out a first treatment on the surface of the The output end of the second adder is connected with the input end of the main control chip fuzzy approach law synovial membrane inner ring module to set the active power value P ref * Sending the fuzzy approach law synovium into a main control chip to change into an inner ring module;
the output end of the reactive power given module is connected with the input end of the main control chip fuzzy approach law synovial membrane inner ring changing module to give a reactive power given value Q ref * Sending the data to a main control chip fuzzy approach law synovium inner ring changing module.
Further, the main control chip fuzzy approach law synovial membrane inner loop changing module comprises an instantaneous power calculating module, an index approach law function module, a fuzzification rule module, a definition module, a power model combining module, a third adder, a fourth multiplier, a fifth multiplier, a sixth multiplier, a seventh multiplier, an eighth multiplier, a ninth multiplier, a first divider and a second divider; wherein:
A/D acquisition module detects three-phase power grid voltage e a 、e b 、e c And three-phase network current I a 、I b 、I c Input to a fuzzy approach law synovial membrane inner ring changing module, and obtain e after coordinate transformation of three-phase power grid voltage and current signals α 、e β 、I α 、I β The output end of the instantaneous power computing module comprises a signal P and a signal Q; signal P and signal Q are respectively equal to active power given value P ref * And reactive power setpoint Q ref * Comparing to obtain a signal S 1 Sum signal S 2 The method comprises the steps of carrying out a first treatment on the surface of the Signal S 1 Sum signal S 2 An index approach law function module is input, and an approach law function parameter K is arranged in the index approach law function module 1 、K 2 、K p 、K q The exponential approach law function module outputs as a signal K 1 sgn(S 1 ) Sum signal K 2 sgn(S 2 ) The method comprises the steps of carrying out a first treatment on the surface of the Signal K 1 sgn(S 1 ) Sum signal K 2 sgn(S 2 ) Sequentially processing by a blurring module (220), a blurring rule module (230) and a sharpening module; signal K 1 sgn(S 1 ) And K is equal to p (P ref -P) feeding a third adder; signal K 2 sgn(S 2 ) And K is equal to q (Q ref -Q) feeding a fourth adder; negative value-L of the net side alternating current filter inductance value is respectively matched with the signal K 1 *sgn(P ref * -P)-K p *(P ref * -P) and K 2 *sgn(Q ref * -Q)-K q *(Q ref * -Q) feeding the fourth multiplier and the fifth multiplier to obtain the signal dS 1 And dS 2 The method comprises the steps of carrying out a first treatment on the surface of the Output signal of instantaneous power computing module and given parameter R om The omega L input power model combination module obtains a control signal f 1 、f 2 The method comprises the steps of carrying out a first treatment on the surface of the Signal f 1 、f 2 、dS 1 、dS 2 The sixth multiplier, the seventh multiplier, the eighth multiplier and the ninth multiplier are respectively output, the outputs are sent to the denominator ports of the first divider and the second divider, and the denominator ports are connected with the signal e α 2 +e β 2 The output port of the inner loop module is changed into a signal V through the fuzzy approach law synovium α 、V β To the SVPWM generation module.
The invention provides a control method of a double closed loop PFC rectifier with fuzzy approaching rhythmic synovial membrane change, which comprises the following steps:
s1, initializing a system by weak current, and acquiring three-phase power grid voltage e by an A/D acquisition module a e b e c And three-phase network current I a I b I c The fuzzy approach law synovial membrane becomes an inner ring module;
s2, blurringThe approach law synovium becomes an inner loop module and obtains e needed by the SVPWM generating module of the main control chip through calculation according to the collected three-phase power grid voltage and three-phase power grid current α 、e β
S3, voltage outer loop control, working with constant voltage: the power battery pack of the electric automobile obtains the current charging voltage through CAN communication bus transmission, and outputs a voltage value meeting the setting after proportional integral PI operation;
s4, logic judgment: judging whether the charging voltage reaches a set value or not, and if not, returning to the step S3; if yes, executing step S5;
s5, ending the charging.
Further, the specific method of step S2 of the present invention is as follows:
s200, obtaining an output signal e after coordinate transformation of the three-phase power grid voltage and current signals α 、e β 、I α 、I β Sending the output signal to an instantaneous power calculation module to calculate to obtain an output signal P, Q and e α 2 +e β 2 The method comprises the steps of carrying out a first treatment on the surface of the At a given value P of active power ref * Reactive power setpoint Q ref * Comparing to obtain a signal S 1 Sum signal S 2 The method comprises the steps of carrying out a first treatment on the surface of the Signal S 1 Sum signal S 2 An index approach law function module is input, and an approach law function parameter K is arranged in the index approach law function module 1 、K 2 、K p 、K q The exponential approach law function module outputs as a signal K 1 sgn(S 1 ) Sum signal K 2 sgn(S 2 ) The method comprises the steps of carrying out a first treatment on the surface of the Signal K 1 sgn(S 1 ) Sum signal K 2 sgn(S 2 ) Sequentially processing by a blurring module, a blurring rule module and a sharpening module; the output signal is K 1 sgn(P ref * -P)-K p (P ref * -P) and K 2 sgn(Q ref * -Q)-K q (Q ref * -Q);
Step S210, negative value of the network side AC filter inductance value-L and signal K 1 sgn(P ref * -P)-K p (P ref * -P) and K 2 sgn(Q ref * -Q)-K q (Q ref * -Q) multiplying the signal dS 1 And dS 2
Step S220, signal P, Q and e α 2 +e β 2 The control signal f is obtained after the combination of the power model combination modules 1 、f 2
Step S230, signal f 1 、f 2 、dS 1 、dS 2 Combining the obtained signal with signal e α 2 +e β 2 Dividing operation is carried out, and a signal V is output through an output port of the fuzzy approximation law synovium inner ring changing module α 、V β To a master control chip SVPWM generation module.
Further, the specific method of step S3 of the present invention is as follows:
s300, the power battery pack of the electric automobile uses a CAN communication bus to carry out direct-current side voltage U dc And direct current side current I dc Transmitting to a main control chip voltage outer ring module;
s310, real-time voltage acquisition signal U d With a given voltage signal U dref * Calculating to obtain voltage difference value, and collecting signal U in real time d 、I d Multiplication operation to obtain output signal P now
S320, multiplying the output voltage difference signal by the real-time current acquisition signal after passing through the PI operation module to obtain DeltaP ref The method comprises the steps of carrying out a first treatment on the surface of the Signal DeltaP ref And signal P now Adding to obtain signal P ref * And outputs an active power given signal P through an output port ref * To the power inner loop module; reactive power Q ref * The given signal is output to the fuzzy approximate rhythmic synovial membrane inner ring changing module through the output port.
The invention has the beneficial effects that: according to the control system and the method for the fuzzy similar-law synovial membrane-changing double-closed-loop PFC rectifier, the outer loop is controlled by the voltage PI with real-time current compensation, so that the power value of the corresponding inner loop compensation can be obtained quickly, the dynamic response speed of the system is improved, and meanwhile, the selection of PI parameters is simplified; the inner loop adopts fuzzy approach law sliding mode variable power inner loop control, a phase-locked loop is not required to track the voltage phase of the three-phase power grid, and current is not required to be transformed and decoupled in dq coordinates. The control algorithm is simple, the output voltage ripple of the direct current side is small when the three phases of the power grid are unbalanced, and the THD of the power grid side current is low. The sliding mode variable structure is controlled by adopting the fuzzy approach law, so that the dynamic performance and steady-state precision of the system are improved, and the buffeting phenomenon generated when the sliding mode variable structure is large in response to load change is eliminated. The novel double closed-loop control method can enable the rectifier to adapt to a complex power grid environment, and the system cannot generate buffeting phenomenon when the load is suddenly changed in a large range.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a diagram of a PFC rectifier dual closed loop control system with fuzzy approach law sliding mode variation.
FIG. 2 is a block diagram of a voltage outer loop module design.
FIG. 3 is a fuzzy approach rhythmic synovial variable inner ring design.
Fig. 4 shows a detailed design of a fuzzy approach law synovial membrane to inner loop module based on the vienna rectifier.
Fig. 5 is a control flow diagram.
Fig. 6 (a) membership function curve of input variable language values.
Fig. 6 (b) membership function curve of output variable language values.
In the figure: the system comprises a 100-power conversion module, a 110-electric automobile power battery pack, a 120-A/D acquisition module, a 130-master control chip SVPWM generation module, a 140-master control chip voltage outer loop module, a 150-master control chip fuzzy approach law synovial membrane change inner loop module, a 200-instantaneous power calculation module, a 210-exponential approach law function module, a 220-blurring module, a 230-blurring rule module, a 240-blurring module and a 250-power model combination module.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In this example, the power conversion primary topology employed is a three-phase VIENNA rectification topology. The three-phase grid voltage is 380V/50Hz, and 30V direct current component is injected into the A-phase grid voltage. Discrete constant T s =50μs; the DC side output control voltage is 750V; ac side filter inductance l=0.8 mH; DC side filter capacitor C 1 =C 2 =2000μF。
As shown in fig. 1, this example is illustrated. The three-phase network voltage is connected with the power conversion module (100) through the input end I_1, and the output voltage U of the power conversion module (100) dc+ And U dc- The output terminals O_1 and O_2 are connected with the input terminals I_2 and I_3 of the electric vehicle power battery pack (110). The electric automobile power battery pack (110) is connected with the main control chip voltage outer ring module (140) through CAN communication. Inner loop given P output by voltage outer loop module (140) ref 、Q ref Input ports I_6 and I_7 of the fuzzy approximation rhythmic synovial membrane variable inner ring module (150) are input through output ports O_3 and 0_4. The A/D acquisition module (120) acquires three-phase power grid voltage and current through input ends I_4 and I_5 and inputs the three-phase power grid voltage and current into the fuzzy approach law synovium inner ring module of the main control chip. The fuzzy approach law synovial membrane changing inner ring module (150) outputs V through an output end O_5 and O_6 α And V is equal to β To the SVPWM generation module (130). The SVPWM generation module outputs a PWM control signal to the power conversion module (100).
In the above scheme, a voltage outer loop with real-time current compensation is used, as shown in fig. 2. The power battery pack (110) of the electric automobile collects the current DC side output voltage U d With the current output current I at the current DC side d And the voltage outer ring module (140) is connected with the main control chip through CAN communication. Current dc side output voltage U d And voltage outer loop given voltage U dref * Respectively fed into the positive end and the negative end of the subtracter 2_1. Output value of subtractor 2_1 and K p The values are sent to a multiplier 2_1 together, and the output value of the subtracter 2_1 and K i The values are fed together into the differentiator 2_1. Multiplier 2_1 and differentiator 2_1 are addedAnd a device 2_1. The output value of adder 2_1 and the current I at the current side d Together with the multiplier 2_2. Current dc side voltage value U d And the current value I of the current direct current side d And is fed to multiplier 2_3. Output value P of multiplier 2_3 now Output value Δp of multiplier 2_2 ref The adder 2_2 is fed in. The output of adder 2_2 is the active power given P of the fuzzy approximate law synovial membrane variable inner ring ref * The output end O_3 of the voltage outer ring module (140) is transmitted to the input end I_6 of the fuzzy approximation rhythmic synovial membrane variable inner ring module (150). Reactive power given module Q ref * The output of the device is a fuzzy approach law synovial membrane variable inner loop reactive power given Q ref * The output end O_4 of the voltage outer ring module (140) is transmitted to the input end I_7 of the fuzzy approximation rhythmic synovial membrane variable inner ring module (150). And the real-time current compensation is added, so that the power value of the corresponding inner loop compensation is obtained quickly, the dynamic response speed of the system is improved, and meanwhile, the selection of PI parameters is simplified.
In this example, the values of the parameters are as follows:
voltage outer loop given voltage U dref * =750V;
Reactive power given Q of fuzzy approach law synovial membrane variable inner ring ref * =0W;
K p =4;
K i =0.02;
In this example, a specific fuzzy approach law synovial inner ring design is shown in fig. 4. A/D acquisition module (120) detects three-phase grid voltage e a 、e b 、e c And three-phase network current I a 、I b 、I c . And input to a fuzzy approach rhythmic synovial membrane change inner loop module (150). The three-phase power grid voltage and current signals are obtained by coordinate transformation α 、e β 、I α 、I β . After being sent to the instantaneous power computing module, a signal P, Q is sent; given the module P in the inner ring ref And Q is equal to ref Comparing to obtain S 1 、S 2 The method comprises the steps of carrying out a first treatment on the surface of the An input exponential approach law function, in which there is a parameter k 1 ,k 2 ,k p ,k q 。S 1 Obtaining an adjustable parameter k in an approach law function after blurring, a blurring rule and definition 1 . Negative value-L of the net side alternating current filter inductance value is respectively matched with the signal K 1 *sgn(P ref * -P)-K p *(P ref * -P) and K 2 *sgn(Q ref * -Q)-K q *(Q ref * -Q) feeding the signal into a multiplier to obtain a signal dS 1 And dS 2 . According to the power mathematical model of each topological structure, the output signals of the adders 1_1, 1_2 and 1_1 are combined with the subtractors through each multiplier to obtain a control signal f 1 、f 2 . Signal f 1 、f 2 、dS 1 、dS 2 The multipliers 1_17, 1_18, 1_19 and 1_20 are respectively output, and are sent to denominator ports of the dividers 1_1 and 1_2 after being combined according to different topological power mathematical models, and meanwhile, the denominator ports are connected with a signal e α 2 +e β 2 . Output signal V through output ports O_5, O_6 of fuzzy approach law synovial membrane to inner ring module (150) α 、V β To the SVPWM generation module (130).
The specific implementation steps are shown in fig. 4:
s100: each module is initialized and configured;
s110: the A/D acquisition module (120) acquires the voltage and the current of the three-phase power grid and outputs the three-phase voltage e a 、e b 、e c With three-phase network current I a 、I b 、I c To a fuzzy approach rhythmic synovial membrane change inner ring module (150);
s200: the signal e can be obtained through the abc/alpha beta conversion in the fuzzy approximation rhythmic synovial membrane variable inner loop module (150) α 、e β 、I α 、I β
S201:e α The signal passes through the multiplier 1_1 to obtain an output signal e α 2 ;e β The signal passes through the multiplier 1_2 to obtain an output signal e β 2 ,e α 2 And e β 2 The output signal e is obtained by the adder 1_2 α 2 +e β 2
S202:e α And I β Is sent to a multiplier 1_3 to obtain an output signal e α I α ;e β And I β Is sent to a multiplier 1_4 to obtain an output signal e β I β ,e α I α And e β I β The output signal P can be obtained by the adder 1_1;
S203:e α and I β Is sent to a multiplier 1_5 to obtain an output signal e α I β ;e β And I α Is sent to a multiplier 1_6 to obtain an output signal e β I α ,e α I β And e β I α Respectively feeding into a positive end and a negative end of the subtracter 1_1 to obtain an output signal Q;
s204 output signal P of adder 1_1 and input signal P of I_6 port ref * Is respectively fed into a port and a port of the subtracter 1_2, and the subtracter 1_2 outputs a signal S 1 The method comprises the steps of carrying out a first treatment on the surface of the Output signal Q of subtractor 1_1 and input signal Q of port i_7 ref * Respectively fed into a port and a port of the subtracter 1_3, and the subtracter 1_3 outputs a signal S 2
S205:S 1 After passing through the function module sgn (S), the function module sgn is matched with a given value K 1 Together with the input to the multiplier 1_7; s is S 2 After passing through the function module sgn (S), the function module sgn is matched with a given value K 2 The specific sgn (S) function fed to multiplier 1_8 is as follows:
S206:S 1 the blurring parameter is sent to the multiplier 1_21 together with the blurring parameter, and the multiplier 1_21 and the blurring parameter are sent to the multiplier 1_22 through a blurring rule. Specific fuzzy rules are shown in table 1, and membership functions are shown in annex 5;
TABLE 1 fuzzy rule of fuzzy approach law
S207, the output of multiplier 1_22 and S1 are fed into multiplier 1_9 to output signal K p (P ref * -P). Given value K q And signal S 2 To multiplier 1_10, output signal K q (Q ref * -Q). Output signal K of multiplier 1_7 1 sgn(S 1 ) And the output signal K of multiplier 1_9 p (P ref * -P) is fed into adder 1_3. Output signal K2sgn (S2) of multiplier 1_8 and output signal K of multiplier 1_10 q (Q ref * -Q) into adder 1_4;
s210: the given signal L and the output signal of adder 1_3 are fed to multiplier 1_11 for outputting signal dS 1 The output signal of the given signal-L and adder 1_4 is fed to multiplier 1_12 to output signal dS 2
S220: the output signal P of adder 1_1 and the given signal ωl are fed to multiplier 1_13. The output signal P of adder 1_1 and a given signal R om And is fed to multiplier 1_15. Output signal Q and given signal R of subtractor 1_1 om And is fed to multiplier 1_14. The output signal Q of the subtractor 1_1 and the given signal ωl are fed to the multiplier 1_16;
s221: the output signal of the multiplier 1_13 and the output signal of the multiplier 1_14 are respectively sent to a subtracter + port and a subtracter-port to obtain an output signal f 2 The method comprises the steps of carrying out a first treatment on the surface of the Output signal e of adder 1_2 α 2 +e β 2 The output signal of the multiplier 1_15 and the output signal of the multiplier 1_16 are respectively sent to the + port, -port and-port of the subtracter 1_5 to obtain an output signal f 1
S230: output signal f of subtractor 1_4 2 And the output signal dS of multiplier 1_12 2 The + port and-port of subtractor 1_7 are fed into, the output signal of subtractor 1_7 and signal e β After being sent to a multiplier 1_17, a signal e is obtained β (f 2 -dS 2 ) The method comprises the steps of carrying out a first treatment on the surface of the Output signal f of subtractor 1_5 1 And the output signal dS of multiplier 1_11 1 The + port and-port of subtractor 1_6 are fed into, the output signal of subtractor 1_6 and signal e α Is sent to a multiplier 1_10 to obtain a signal e α (f 1 -dS 1 ) The method comprises the steps of carrying out a first treatment on the surface of the Output of subtractor 1_7Output signal and signal e α Is sent to a multiplier 1_19 to obtain a signal e α (f 2 -dS 2 ) The method comprises the steps of carrying out a first treatment on the surface of the Output signal of subtracter 1_6 and signal e β Feeding into multiplier 1_120 to obtain signal e β (f 1 -dS 1 );
S231: signal e α (f 2 -dS 2 ) And e β (f 1 -dS 1 ) Respectively fed into port and port of subtracter 1_8, the output signal of subtracter 1_8 is fed into denominator port of divider 1_2, and signal e α 2 +e β 2 The output signal V is sent to the molecular port of the divider 1_2 β The output of the O_6 port of the fuzzy approach law synovial membrane variable inner ring module (150) is transmitted to the SVPWM generation module (130); signal e α (f 1 -dS 1 ) And e β (f 2 -dS 2 ) Into adder 1_5, the output signal of adder 1_5 is fed into the denominator port of divider 1_1, signal e α 2 +e β 2 Into the molecular port of divider 1_1, and output signal V α The output of the O_5 port of the fuzzy approach law synovial membrane variable inner ring module (150) is transmitted to the SVPWM generation module (130);
s300: the power battery pack (110) of the electric automobile uses the CAN bus to drive the direct-current side voltage U dc And direct current side current I dc Transmitting to a main control chip voltage outer loop module (140);
s400: determining whether the charging voltage reaches the expected value? Otherwise, returning to S310 and S320;
s410: judging whether the charge amount reaches the expected value? Otherwise, returning to S310 and S320;
s500: the main control chip fuzzy approach law synovial membrane inner ring changing module (150) does not receive the three-phase voltage signal and the three-phase current signal sent by the A/D acquisition module (120) any more, and executes a stopping program;
s510: and (5) ending.
Feedback link:
s310 real-time voltage acquisition signal U d With a given voltage signal U dref * Respectively feeding into a port and a port of the subtracter 2_1; real-time voltage and current acquisition signal U d 、I d Is sent to a multiplier 2_3 to obtain an output signal P now
S320, the output signal of the subtracter output 2_1 is sent to the multiplier 2_2 together with the real-time current acquisition signal after PI to obtain DeltaP ref The method comprises the steps of carrying out a first treatment on the surface of the Signal DeltaP ref And signal P now Into adder P ref * And outputs an active power given signal P through an output port O_3 ref * To a fuzzy approach rhythmic synovial membrane change inner ring module (150); reactive power Q ref * The given signal is output to a fuzzy approximate rhythmic synovial membrane variable inner ring module (150) through an output port 0_4;
in this example, the values of the parameters are as follows:
K1=0.01;
K2=0.1;
Kq=10000;
Rom=0.1;
λ=20000;
blurring parameters: 10 -8
Sharpening parameters: 10 5
It will be understood that modifications and variations will be apparent to those skilled in the art from the foregoing description, and it is intended that all such modifications and variations be included within the scope of the following claims.

Claims (2)

1. A control system for a fuzzy approach to rhythmic synovial variable dual closed loop PFC rectifier, the system comprising: the system comprises a power conversion module (100), an electric automobile power battery pack (110), an A/D acquisition module (120), a master control chip SVPWM generation module (130), a master control chip voltage outer ring module (140) and a master control chip fuzzy approach law synovial membrane inner ring changing module (150), wherein:
the three-phase power grid is connected with the input end of the power conversion module (100), and the two positive and negative output ends of the power conversion module (100) are respectively connected with the two input ends of the electric automobile power battery pack (110); the electric automobile power battery pack (110) is connected with the input end of the main control chip voltage outer ring module (140) through the CAN communication bus; main control core makingThe two output ends of the sheet voltage outer ring module (140) are respectively connected with the two input ends of the main control chip fuzzy approach law synovium inner ring changing module (150), and the main control chip voltage outer ring module (140) inputs the output inner ring given value to the main control chip fuzzy approach law synovium inner ring changing module (150); the A/D acquisition module (120) is connected with a three-phase power grid through two acquisition input ends, acquires voltage and current of the three-phase power grid, two output ends of the A/D acquisition module (120) are connected with other two input ends of the main control chip fuzzy approach law synovium inner ring changing module (150), and the A/D acquisition module (120) inputs the acquired voltage and current to the main control chip fuzzy approach law synovium inner ring changing module (150); two output ends of the main control chip fuzzy approach law synovium change inner ring module (150) are connected with two input ends of the main control chip SVPWM generation module (130), and the main control chip fuzzy approach law synovium change inner ring module (150) outputs two paths of control signals V α And V is equal to β To a master control chip SVPWM generation module (130); the output end of the main control chip SVPWM generation module (130) is connected with the power conversion module (100), and the main control chip SVPWM generation module (130) generates PWM control signals and outputs the PWM control signals to the power conversion module (100);
the main control chip voltage outer loop module (140) adopts voltage PI control with real-time current compensation;
the inner loop set point output by the main control chip voltage outer loop module (140) comprises: active power given value P of fuzzy approach law synovial membrane variable inner ring ref * Reactive power setpoint Q ref *
The main control chip voltage outer loop module (140) comprises a subtracter, a first adder, a second adder, a differentiator, a first multiplier, a second multiplier, a third multiplier, a voltage outer loop given voltage module, a reactive power given module, and an approach law function K i Parameter output terminal and approach law function K p A parameter output terminal; wherein:
the power battery pack (110) of the electric automobile collects the current DC side output voltage U d With the current output current I at the current DC side d Sends the voltage to the main control chip voltage outer ring module (140) through CAN communication);
The current direct current side output voltage input end and the voltage outer ring given voltage module are respectively connected with the minus end and the plus end of the subtracter, and the current direct current side output voltage U is obtained d And the voltage outer ring gives a voltage value U dref * Feeding into a subtracter;
output of subtracter and approach law function K p The parameter output end is connected with the first multiplier, the output end of the subtracter and the disclination function K i The parameter output ends are connected with the differentiators;
the output ends of the first multiplier and the differentiator are connected with a first adder;
the output end of the first adder and the current output current end of the current direct current side are connected with a second multiplier, and the output value of the first adder and the current direct current side output current I d Together fed into a second multiplier;
the current DC side output voltage end and the current DC side output current end are connected with a third multiplier to output the current DC side output voltage U d With the current output current I at the current DC side d Feeding into a third multiplier;
the output ends of the second multiplier and the third multiplier are connected with a second adder to output the output value P of the second multiplier ref And the output value P of the third multiplier now Sending the power into a second adder, wherein the output of the second adder is the active power given value P of the fuzzy approach law synovial membrane variable inner ring ref * The method comprises the steps of carrying out a first treatment on the surface of the The output end of the second adder is connected with the input end of the main control chip fuzzy approach law synovial membrane inner ring changing module (150) to set the active power value P ref * Sending the fuzzy approach law synovial membrane into a main control chip to become an inner ring module (150);
the output end of the reactive power given module is connected with the input end of the main control chip fuzzy approach law synovial membrane inner ring changing module (150) to give the reactive power given value Q ref * Sending the fuzzy approach law synovial membrane into a main control chip to become an inner ring module (150);
the main control chip fuzzy approach law synovial membrane change inner ring module (150) comprises an instantaneous power calculation module (200), an exponential approach law function module (210), a fuzzification module (220), a fuzzification rule module (230), a definition module (240), a power model combination module (250), a third adder, a fourth multiplier, a fifth multiplier, a sixth multiplier, a seventh multiplier, an eighth multiplier, a ninth multiplier, a first divider and a second divider; wherein:
A/D acquisition module (120) detects three-phase grid voltage e a 、e b 、e c And three-phase network current I a 、I b 、I c And input into a fuzzy approach law synovial membrane change inner ring module (150), and the three-phase power grid voltage and current signals are subjected to coordinate transformation to obtain e α 、e β 、I α 、I β Feeding into an instantaneous power calculation module (200), wherein the output end of the instantaneous power calculation module (200) comprises a signal P and a signal Q; signal P and signal Q are respectively equal to active power given value P ref * And reactive power setpoint Q ref * Comparing to obtain a signal S 1 Sum signal S 2 The method comprises the steps of carrying out a first treatment on the surface of the Signal S 1 Sum signal S 2 An exponential approach law function module (210) is input, and an approach law function parameter K is arranged in the exponential approach law function module (210) 1 、K 2 、K p 、K q The exponential approach law function module (210) outputs as a signal K 1 sgn(S 1 ) Sum signal K 2 sgn(S 2 ) The method comprises the steps of carrying out a first treatment on the surface of the Signal K 1 sgn(S 1 ) Sum signal K 2 sgn(S 2 ) Sequentially processing by a blurring module (220), a blurring rule module (230) and a sharpening module (240); signal K 1 sgn(S 1 ) And K is equal to p (P ref -P) feeding a third adder; signal K 2 sgn(S 2 ) And K is equal to q (Q ref -Q) feeding a fourth adder; negative value-L of the net side alternating current filter inductance value is respectively matched with the signal K 1 *sgn(P ref * -P)-K p *(P ref * -P) and K 2 *sgn(Q ref * -Q)-K q *(Q ref * -Q) feeding the fourth multiplier and the fifth multiplier to obtain the signal dS 1 And dS 2 The method comprises the steps of carrying out a first treatment on the surface of the The output signal of the instantaneous power calculation module (200) is combined with a given parameter R om The omega L is input into a power model combination module (250) to obtain a control signal f 1 、f 2 The method comprises the steps of carrying out a first treatment on the surface of the Signal f 1 、f 2 、dS 1 、dS 2 The sixth multiplier, the seventh multiplier, the eighth multiplier and the ninth multiplier are respectively output, the outputs are sent to the denominator ports of the first divider and the second divider, and the denominator ports are connected with the signal e α 2 +e β 2 Output signal V through the output port of the fuzzy approach law synovial membrane change inner ring module (150) α 、V β To the SVPWM generation module (130).
2. A control method of a control system employing the fuzzy approach rhythmic synovial double closed loop PFC rectifier of claim 1, comprising the steps of:
s1, initializing a system by weak current, and collecting three-phase power grid voltage e by an A/D collecting module (120) a e b e c And three-phase network current I a I b I c And input to a fuzzy approach rhythmic synovial membrane change inner ring module (150);
s2, a fuzzy approximation law synovial membrane changing inner ring module (150) obtains e needed by a master control chip SVPWM generating module (130) through calculation according to the collected three-phase power grid voltage and three-phase power grid current α 、e β
S3, voltage outer loop control, working with constant voltage: the power battery pack (110) of the electric automobile obtains the current charging voltage through CAN communication bus transmission, and outputs a voltage value meeting the setting after proportional integral PI operation;
s4, logic judgment: judging whether the charging voltage reaches a set value or not, and if not, returning to the step S3; if yes, executing step S5;
s5, ending the charging;
the specific method of the step S2 is as follows:
s200, obtaining an output signal e after coordinate transformation of the three-phase power grid voltage and current signals α 、e β 、I α 、I β, Sending to instantaneous power calculation module (200) for calculationObtaining an output signal P, Q and e α 2 +e β 2 The method comprises the steps of carrying out a first treatment on the surface of the At a given value P of active power ref * Reactive power setpoint Q ref * Comparing to obtain a signal S 1 Sum signal S 2 The method comprises the steps of carrying out a first treatment on the surface of the Signal S 1 Sum signal S 2 An exponential approach law function module (210) is input, and an approach law function parameter K is arranged in the exponential approach law function module (210) 1 、K 2 、K p 、K q The exponential approach law function module (210) outputs as a signal K 1 sgn(S 1 ) Sum signal K 2 sgn(S 2 ) The method comprises the steps of carrying out a first treatment on the surface of the Signal K 1 sgn(S 1 ) Sum signal K 2 sgn(S 2 ) Sequentially processing by a blurring module (220), a blurring rule module (230) and a sharpening module (240); the output signal is K 1 sgn(P ref * -P)-K p (P ref * -P) and K 2 sgn(Q ref * -Q)-K q (Q ref * -Q);
Step S210, negative value of the network side AC filter inductance value-L and signal K 1 sgn(P ref * -P)-K p (P ref * -P) and K 2 sgn(Q ref * -Q)-K q (Q ref * -Q) multiplying the signal dS 1 And dS 2
Step S220, signal P, Q and e α 2 +e β 2 The control signal f is obtained after the combination of the power model combination module (250) 1 、f 2
Step S230, signal f 1 、f 2 、dS 1 、dS 2 Combining the obtained signal with signal e α 2 +e β 2 The division operation is carried out, and the signal V is output through the output port of the fuzzy approximation law synovial membrane inner ring changing module (150) α 、V β To a master control chip SVPWM generation module (130);
the specific method of the step S3 is as follows:
s300, the electric automobile power battery pack (110) is connected with the direct current side through the CAN communication busVoltage U dc And direct current side current I dc Transmitting to a main control chip voltage outer loop module (140);
s310, real-time voltage acquisition signal U d With a given voltage signal U dref * Calculating to obtain voltage difference value, and collecting signal U in real time d 、I d Multiplication operation to obtain output signal P now
S320, multiplying the output voltage difference signal by the real-time current acquisition signal after passing through the PI operation module to obtain DeltaP ref The method comprises the steps of carrying out a first treatment on the surface of the Signal DeltaP ref And signal P now Adding to obtain signal P ref * And outputs an active power given signal P through an output port ref * To a power inner loop module (150); reactive power Q ref * The given signal is output to a fuzzy approach law synovial membrane change inner loop module (150) through an output port.
CN201810432421.XA 2018-05-08 2018-05-08 Control system and method for fuzzy double closed loop PFC rectifier approaching to rhythmic synovial membrane change Active CN108322039B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810432421.XA CN108322039B (en) 2018-05-08 2018-05-08 Control system and method for fuzzy double closed loop PFC rectifier approaching to rhythmic synovial membrane change

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810432421.XA CN108322039B (en) 2018-05-08 2018-05-08 Control system and method for fuzzy double closed loop PFC rectifier approaching to rhythmic synovial membrane change

Publications (2)

Publication Number Publication Date
CN108322039A CN108322039A (en) 2018-07-24
CN108322039B true CN108322039B (en) 2023-12-29

Family

ID=62895602

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810432421.XA Active CN108322039B (en) 2018-05-08 2018-05-08 Control system and method for fuzzy double closed loop PFC rectifier approaching to rhythmic synovial membrane change

Country Status (1)

Country Link
CN (1) CN108322039B (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101702616A (en) * 2009-12-09 2010-05-05 哈尔滨工业大学 Four-quadrant frequency variation speed regulating device of induction motor
CN106877692A (en) * 2015-12-11 2017-06-20 李福来 A kind of Vienna rectifiers double-closed-loop control method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101702616A (en) * 2009-12-09 2010-05-05 哈尔滨工业大学 Four-quadrant frequency variation speed regulating device of induction motor
CN106877692A (en) * 2015-12-11 2017-06-20 李福来 A kind of Vienna rectifiers double-closed-loop control method

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Improved Direct Power Control for Rectifier Based on Fuzzy Sliding Mode;Jingjing Huang等;《IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY》;20140531;第22卷(第3期);第1174-1180页 *
Research on full bridge LLC resonant converter based on fuzzy self-adaptive PI control;Tianpei Chen等;《2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)》;20170703;第132-137页 *
基于模糊滑模控制的三相PWM整流器仿真;黄辉先等;《电源技术》;20130531;第37卷(第5期);第836-839页 *
基于模糊自适应控制的三相PWM整流器的研究;杨肖等;《计算机技术与自动化》;20171231;第36卷(第4期);第29-32,45页 *

Also Published As

Publication number Publication date
CN108322039A (en) 2018-07-24

Similar Documents

Publication Publication Date Title
CN109446653B (en) Modeling method of mixed MMC small-signal model of mixed MMC state space model
CN108777549A (en) A kind of sliding formwork proportional resonant control method based on three-phase Vienna rectifiers
CN112653342B (en) Complex vector current loop decoupling control device and method under static coordinate system
CN112597736A (en) Method for analyzing high-frequency oscillation stability of direct-current micro-grid
CN110266044B (en) Microgrid grid-connected control system and method based on energy storage converter
CN110048447B (en) H between flexible direct current transmission system station ∞ Decoupling controller
CN114552678A (en) System considering constant power load and small signal stability and control method
CN112952901B (en) Distributed stability analysis method for multi-fan grid-connected system
CN111740440B (en) Inter-station coupling discrimination and internal model decoupling control method for flexible direct current transmission system
CN108322039B (en) Control system and method for fuzzy double closed loop PFC rectifier approaching to rhythmic synovial membrane change
CN117878957A (en) UPQC system and unified modeling state feedback decoupling method
CN109802434B (en) Grid-connected current balance control system of three-phase cascade photovoltaic inverter
CN110429834B (en) Three-phase rectifier sliding mode control method based on extended state observer
CN111293710B (en) Bidirectional charge and discharge control system of electric automobile and control method thereof
CN106787789B (en) Solar battery array simulator exports output voltage outer ring calculation method and device in power grid outer loop control
CN115632566A (en) Midpoint potential balance control method based on notch filter and compensator
CN111756261B (en) PWM rectifier control method and device
CN115036929A (en) Parallel APF control method and device
CN110165677B (en) Voltage stable control method for single-phase alternating-current power spring
CN107769594A (en) A kind of optimization method of Pulse rectifier current inner loop controller
Huixian et al. A sliding mode control of Vienna rectifier based on improved double power reaching law
CN205646821U (en) APF control circuit suitable for electric automobile is different, and charging phase harmonic is administered
CN110707762A (en) Multi-energy complementary alternating current-direct current hybrid micro-grid load flow feasible region calculation method
CN111555354B (en) Control method and device for autonomous renewable micro-grid system and storage medium
CN114899877B (en) Modeling and parameter optimization method and device for virtual synchronous machine of combined heat and power system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant