CN112054724B - Excitation generator controller based on fuzzy control and control method thereof - Google Patents
Excitation generator controller based on fuzzy control and control method thereof Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P9/00—Arrangements for controlling electric generators for the purpose of obtaining a desired output
- H02P9/10—Control effected upon generator excitation circuit to reduce harmful effects of overloads or transients, e.g. sudden application of load, sudden removal of load, sudden change of load
- H02P9/105—Control effected upon generator excitation circuit to reduce harmful effects of overloads or transients, e.g. sudden application of load, sudden removal of load, sudden change of load for increasing the stability
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/0275—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using fuzzy logic only
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Abstract
The invention discloses an excitation generator controller based on fuzzy control, which comprises a steady-state excitation controller and a dynamic excitation controller, wherein the input end of the steady-state excitation controller inputs the rotating speed of a generator rotor and the load current, the steady-state excitation controller outputs PWM1 signals through a PID control algorithm, the dynamic excitation controller processes the input rotating speed of the generator rotor and the load current through the fuzzy control algorithm and then outputs delta PWM1, and the PWM1 signals and the delta PWM1 signals are overlapped to control a power tube in an excitation power module. The invention has the advantages that: the dynamic excitation controller of the excitation generator designed based on fuzzy control can effectively inhibit load current and rotation speed fluctuation, and high-precision stable control of output voltage is realized.
Description
Technical Field
The invention relates to the field of excitation generator control, in particular to an excitation generator controller based on fuzzy control and a control method thereof.
Background
The generator can be divided into a permanent magnet generator and an excitation generator, wherein the excitation magnetic field of the permanent magnet generator is generated by a permanent magnet, the permanent magnet is a magnetic source and is a magnetic circuit component, the excitation magnetic field of the excitation generator is an excitation current provided by an external excitation system, and the excitation generator is widely applied in consideration of the problems of uncontrollable, irreversible demagnetization, high manufacturing cost and the like of the excitation magnetic field of the permanent magnet generator.
The traditional excitation control system is a mechanical control system and mainly comprises mechanical components such as a motor, a sliding rheostat, a travel switch and the like. After the rotation speed is reduced or the load is increased, the motor drives the slide rheostat to move to perform magnetizing operation, and finally the slide rheostat is stabilized at a set voltage; after the rotating speed is increased or the load is reduced, the motor drives the slide rheostat to move for demagnetizing operation, and finally the motor is stabilized at the set voltage. The mechanical excitation control system can realize functions by means of joint coordination of mechanical components such as a motor, a sliding rheostat, a travel switch and the like, and has the problems of slow setting voltage adjustment, low precision, poor stability and the like.
Along with the rapid development of power electronic devices and control theory, the electronic excitation control system gradually replaces the traditional mechanical excitation control system and mainly comprises electronic components such as an excitation power module, an excitation controller and the like,
The exciting power module provides exciting current for the exciting rotor and is used as an exciting power supply part of the exciting control system; the excitation controller controls the size of the excitation power supply according to the input signal and the setting criterion, so as to realize the control of the rotor magnetic field. After the rotating speed is reduced or the current load is increased, the excitation controller increases the frequency of the trigger pulse, so that the excitation current of the excitation power module is increased, and the magnetizing operation is realized; after the rotating speed is increased or the current load is reduced, the excitation controller reduces the frequency of the trigger pulse, so that the excitation current of the excitation power module is reduced, and the demagnetizing operation is realized. The electronic excitation control system is completed by means of the joint coordination of electronic components such as an excitation power module, an excitation controller and the like, the excitation controller regulates and controls the output voltages of the excitation power module and the excitation generator in real time according to the fed-back rotating speed and load current, and corresponding control criteria and control algorithms are designed to realize accurate and stable control of an excitation magnetic field and high-precision voltage-stabilizing output of the excitation generator.
The excitation regulator of the traditional excitation generator adopts a PID control algorithm, the PID control algorithm has remarkable effect of inhibiting steady-state constant disturbance, and has poor dynamic disturbance inhibition capability on time variation, so that the dynamic rotation speed and load disturbance of the excitation generator influence the stability of output voltage, and the influence of dynamic disturbance on the output voltage is required to be compensated by the control algorithm, thereby realizing high-precision stable control of the output voltage.
In consideration of the complexity of an excitation generator control system, the invention adopts fuzzy control to design an excitation controller of the excitation generator, compensates the dynamic rotation speed and load disturbance of the excitation generator, and realizes high-precision stable control of the output voltage of the excitation generator.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide an excitation generator controller based on fuzzy control, which can realize compensation control on dynamic revolving clothes and load disturbance, thereby realizing high-precision stable control on output voltage of an excitation generator.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows: the excitation generator controller based on fuzzy control comprises a steady-state excitation controller and a dynamic excitation controller, wherein the input end of the steady-state excitation controller inputs the rotating speed of a generator rotor and the load current, the steady-state excitation controller outputs PWM1 signals through a PID control algorithm, the dynamic excitation controller processes the input rotating speed of the generator rotor and the load current through the fuzzy control algorithm and then outputs delta PWM1, and the PWM1 signals and the delta PWM1 signals are overlapped to control a power tube in an excitation power module.
The dynamic excitation controller comprises a deviation processing unit, a fuzzy control algorithm unit, a DSP control panel and a driving module, wherein the deviation processing unit is used for respectively carrying out deviation processing on dynamic rotating speed and load current, the processed deviation data are sent to the fuzzy control algorithm unit, the fuzzy control algorithm unit is used for processing the deviation data to obtain a pulse modulation signal delta PWM signal, and the delta PWM signal is sent to the driving module to convert the digital signal delta PWM into an analog control signal delta PWM1 for driving the power module.
The fuzzy control algorithm unit comprises a fuzzy processing unit, a fuzzy reasoning rule establishing unit and a fuzzy solving unit, wherein the fuzzy processing unit performs fuzzy processing on the deviation current, the deviation rotating speed and the deviation PWM signal to generate a fuzzy reasoning table through the rule set by the fuzzy reasoning rule unit, and the fuzzy solving unit is used for outputting a corresponding delta PWM signal through combining the fuzzy reasoning table with the fuzzy reasoning rule.
A control method of an excitation generator controller based on fuzzy control comprises the following steps:
generating a steady-state excitation control signal: the steady-state excitation controller outputs a PWM1 control signal based on PID control through the input load current and the rotation speed value;
Dynamic excitation control signal generation: the dynamic magnetic force controller processes the input rotating speed of the generator rotor and the load current through a fuzzy control algorithm and then outputs delta PWM1;
a signal output step: and the PWM1 signals and the delta PWM1 signals are overlapped and then used as output PWM signals, and the PWM signals are used for controlling the power tube in the excitation power module.
The dynamic excitation control signal generation step includes:
(1) Carrying out deviation processing on the load current and the rotating speed of the excitation generator;
(2) Blurring processing deviation amount, establishing a deviation fuzzy reasoning rule and resolving fuzzy output delta PWM;
(3) The DSP control board outputs a driving signal according to the defuzzified output delta PWM;
(4) The driving module outputs a delta PWM1 signal according to the driving signal.
In the step (2), the blurring processing step includes:
The current deviation amount, the rotating speed deviation amount and the Pulse Width Modulation (PWM) signal deviation amount are divided into sections respectively, and the same number of end points are measured for each deviation amount to divide the deviation amount into sections, wherein the end points are the values in the corresponding sections.
In the step (3), a deviation fuzzy reasoning rule and a fuzzy output delta PWM are established, end point values corresponding to each deviation amount are arranged from small to large, then a fuzzy reasoning table corresponding to the current deviation amount end point value and the rotating speed deviation amount end point value and the pulse width modulation PWM signal deviation amount end point value is formed, and corresponding output delta PWM values are obtained through the fuzzy reasoning table according to the real-time current deviation and the rotating speed deviation.
The DSP control board converts the analog delta PWM signal into a digital signal and converts the digital signal into an analog signal delta PWM1 capable of driving a power tube in the excitation power module through a driving signal.
The invention has the advantages that: the dynamic excitation controller of the excitation generator designed based on fuzzy control can effectively inhibit load current and rotation speed fluctuation, and high-precision stable control of output voltage is realized; the steady-state excitation controller can inhibit the steady-state rotating speed and load current disturbance, the dynamic excitation controller can inhibit the dynamic rotating speed and load current disturbance, and finally high-precision voltage-stabilizing output of the excitation generator is realized, the output of the generator is accurately and dynamically controlled by a control signal, and the stability and reliability of the output voltage are ensured.
Drawings
The contents of the drawings and the marks in the drawings of the present specification are briefly described as follows:
Fig. 1 is a schematic diagram of a control system corresponding to a controller of an excitation generator according to the present invention.
FIG. 2 is a schematic block diagram of a dynamic excitation controller of the present invention;
FIG. 3 is a simulation block diagram of the field generator control system of the present invention;
FIG. 4 is a schematic diagram of the output voltage waveform stability of the field generator controller of the present invention versus the output voltage waveform stability of the prior art.
Detailed Description
The following detailed description of the invention refers to the accompanying drawings, which illustrate preferred embodiments of the invention in further detail.
The excitation regulator of the traditional excitation generator adopts a PID control algorithm, the PID control algorithm has remarkable effect of inhibiting steady-state constant disturbance, and has poor dynamic disturbance inhibition capability on time variation, so that the dynamic rotation speed and load disturbance of the excitation generator influence the stability of output voltage, and the influence of dynamic disturbance on the output voltage is required to be compensated by the control algorithm, thereby realizing high-precision stable control of the output voltage. The application designs a steady-state excitation controller which comprises PID algorithm adjustment and a dynamic excitation controller which is realized by a fuzzy algorithm based on the control method, thereby realizing the accurate output control of the excitation generator.
The embodiment discloses an excitation generator controller based on fuzzy control, wherein the excitation controller comprises a steady-state excitation controller and a dynamic excitation controller. The steady-state excitation controller adopts a traditional PID control design, PWM1 is regulated according to the steady-state value of the rotating speed and the load current, the dynamic excitation controller adopts an advanced fuzzy control design, delta PWM1 is regulated according to the dynamic value of the rotating speed and the load current, the two are regulated together (the two are regulated together to be PWM signal superposition, the real-time PWM1 and delta PWM1 are obtained according to the load current and the rotating speed detected in real time, and the superposition is carried out to obtain final regulation PWM.), the MOSFET on-off of the excitation power module and the magnetic field intensity of the rotor of the excitation generator are regulated, and the output voltage of the excitation generator is regulated. The steady-state excitation controller can inhibit the disturbance of steady-state rotating speed and load current, and the dynamic excitation controller can inhibit the disturbance of dynamic rotating speed and load current, so that the high-precision voltage-stabilizing output of the excitation generator is finally realized. The excitation controller of the invention has the advantages that: the influence of dynamic rotation speed and load current on the stability of the output voltage of the exciting generator can be effectively compensated, and high-precision voltage stabilizing output is finally realized.
As shown in FIG. 1, the excitation generator controller based on fuzzy control comprises a steady-state excitation controller and a dynamic excitation controller, wherein the input end of the steady-state excitation controller inputs the rotating speed of a generator rotor and the load current, the steady-state excitation controller outputs PWM1 signals through a PID control algorithm, the dynamic magnetic controller processes the input rotating speed of the generator rotor and the load current through the fuzzy control algorithm and then outputs delta PWM1, and the PWM1 signals and the delta PWM1 signals are overlapped to control a power tube in an excitation power module.
The dynamic excitation controller comprises a deviation processing unit, a fuzzy control algorithm unit, a DSP control panel and a driving module, wherein the deviation processing unit is used for respectively carrying out deviation processing on dynamic rotating speed and load current, the processed deviation data are sent to the fuzzy control algorithm unit, the fuzzy control algorithm unit is used for processing the deviation data to obtain pulse modulation signals delta PWM signals, and the delta PWM signals are sent to the driving module to convert the digital signals delta PWM into analog control signals delta PWM1 for driving the power module.
The fuzzy control algorithm unit comprises a fuzzy processing unit, a fuzzy reasoning rule establishing unit and a defuzzification processing unit, wherein the fuzzy processing unit performs fuzzification processing on the deviation current, the deviation rotating speed and the deviation PWM signal to generate a fuzzy reasoning table through the rule set by the fuzzy reasoning rule unit, and the defuzzification processing unit is used for outputting a corresponding delta PWM signal through combining the fuzzy reasoning table with the fuzzy reasoning rule.
A control method of an excitation generator controller based on fuzzy control comprises the following steps:
generating a steady-state excitation control signal: the steady-state excitation controller outputs a PWM1 control signal based on PID control through the input load current and the rotation speed value;
Dynamic excitation control signal generation: the dynamic magnetic force controller processes the input rotating speed of the generator rotor and the load current through a fuzzy control algorithm and then outputs delta PWM1;
a signal output step: and the PWM1 signals and the delta PWM1 signals are overlapped and then used as output PWM signals, and the PWM signals are used for controlling the power tube in the excitation power module.
The schematic block diagram of the dynamic excitation controller is shown in fig. 2, and the design steps of the dynamic excitation controller are as follows:
(1) Carrying out deviation processing on the load current and the rotating speed of the excitation generator;
(2) Blurring processing deviation amount, establishing a deviation fuzzy reasoning rule and resolving fuzzy output delta PWM;
(3) The DSP control board outputs a driving signal according to the defuzzified output delta PWM;
(4) The driving module outputs a delta PWM1 signal according to the driving signal.
The method comprises the following specific steps:
S1: performing deviation processing on load current and rotating speed of the excitation generator, and taking the deviation of load current I as follows: dI/dt; taking the deviation of the rotating speed n as follows: dn/dt.
S2: blurring processes dI/dt and dn/dt. And respectively dividing the current deviation amount, the rotating speed deviation amount and the Pulse Width Modulation (PWM) signal deviation amount into sections, and measuring the same number of end points of each deviation amount to divide the deviation amount into sections, wherein the end points are values in the corresponding sections.
Let the current I and the current I bias current be DeltaI, preset the scope of bias current and divide the scope of bias current, divide multiple bias current intervals, for example, set the scope of bias current as-3- +3, where-3 is less than-3 mA, and +3 is greater than the current 3mA last (concretely mA is current unit, and the scope of bias is determined according to actual situation). In the case where (-3- +3) is divided into 6 sections, the sections are: -3 to-2, -2 to-1, -1 to 0,0 to 1,1 to 2,2 to 3, and respectively represent-3, -2, -1, 0, 1,2, 3 by NB, NM, NS, ZO, PS, PM, PB. The corresponding endpoint value is NB, NM, NS, ZO, PS, PM, PB. This creates multiple intervals of one deviation.
Let the deviation of the current rotation speed n and the last rotation speed n be delta n, the deviation rotation speed setting range is the deviation (-300- +300), namely, more than or less than 300 rotations/min, and the interval is divided into 6 intervals which are respectively: -300 to-200, -200 to-100, -100 to 0,0 to 100, 100 to 200, 200 to 300, and respectively represent-300, -200, -100, 0, 100, 200, 300 by NB, NM, NS, ZO, PS, PM, PB.
The deviation current of the current pulse width modulation PWM and the last pulse width modulation PWM is delta PWM, and the deviation (-30% to +30%) is divided into 6 sections, which are respectively: -30% -20%, 20% -10%, 10% -0, 0% -10%, 10% -20% and 20% -30%, and the percentages of-30%, 20% -10%, 0, 10%, 20% and 30% are respectively indicated by NB, NM, NS, ZO, PS, PM, PB.
S3: establishing a deviation fuzzy reasoning rule and a fuzzy output delta PWM; and establishing a deviation fuzzy reasoning rule and a fuzzy output delta PWM, arranging end points corresponding to each deviation from small to large, forming a fuzzy reasoning table corresponding to the current deviation end points, the rotating speed deviation end points and the pulse width modulation PWM signal deviation end points, and obtaining corresponding output delta PWM values through the fuzzy reasoning table according to the real-time current deviation and the rotating speed deviation.
Through the interval setting of the obtained current deviation, the rotation speed deviation and the PWM deviation, the relation of the three is calibrated according to an actual experiment, the corresponding interval points of the corresponding PWM are found out according to the relation of the current deviation, the rotation speed deviation and the PWM which should be adjusted under different intervals, and then a corresponding table is formed, so that no matter how the current and the rotation speed deviate, a corresponding PWM signal can be corresponding and the PWM signal can be controlled to reduce the deviation, and the following fuzzy inference tables are arranged according to the load current I, the rotation speed n and the PWM fuzzy processing result: a step of
The fuzzy inference table illustrates:
1) The load current I is deviated to NB (-3), the rotating speed n is deviated to ZO (0), the load current is reduced, the rotating speed of the engine is unchanged, and in order to maintain the stability of the output voltage, the engine rotor needs to be greatly magnetized to compensate the reduction of the load current, so that the delta PWM fuzzy controller outputs delta PWM to PB.
2) The load current I deviation is NB (-3), the rotation speed n deviation is NM (-200), the load current is reduced, the engine rotation speed is reduced, and in order to maintain the stability of the output voltage, the engine rotor needs to be greatly magnetized to compensate the reduction of the load current and the rotation speed, so that the delta PWM fuzzy controller outputs delta PWM to be PB.
3) The load current I is deviated to PB (+3), the rotating speed n is deviated to NM (-200), the load current is increased, the engine rotating speed is reduced, and in order to maintain the stability of the output voltage, on one hand, the small-amplitude demagnetization of the engine rotor is needed to compensate the increase of the load current, and on the other hand, the large-amplitude magnetization of the engine rotor is needed to compensate the reduction of the rotating speed, so that the delta PWM fuzzy controller outputs delta PWM to be ZO.
4) The load current I is deviated to be ZO (0), the rotation speed n is deviated to be ZO (0), and the load current is unchanged and the engine rotation speed is unchanged, so that the delta PWM fuzzy controller outputs delta PWM to be ZO.
5) Other fuzzy reasoning is the same and will not be described in detail.
S4: the DSP control board outputs a driving signal according to a deblurring rule, wherein the DSP control board adopts a DSP2812 chip design to convert analog delta PWM into a digital signal.
S5: the MOSFET driving module outputs delta PWM1 according to the driving signal, and the driving chip converts the digital signal into an analog signal delta PWM1 by adopting ir2110 s.
In steps s4, s5, the DSP control board converts the analog Δpwm signal into a digital signal and converts it into an analog signal Δpwm1 that can drive the power tubes in the excitation power module by the drive signal.
The feasibility of designing the dynamic excitation controller of the excitation generator based on fuzzy control is verified through simulation, the dynamic adjustment effect of the dynamic excitation controller on the load current I and the rotating speed n is verified, and the simulation verification steps are as follows:
(1) As shown in fig. 3, the simulation control system of the excitation generator is built, and the simulation model building steps are as follows:
s1, determining a transfer function of a subsystem according to the function relation of the excitation generator.
The transfer function of the rotating speed voltage conversion module is as follows: k/(1+t×s), where the proportionality constant K is taken as: 1, a first order constant T is taken as: 100.
The exciting power module transfer function is: k1/(1+t1×s), where the proportionality constant K1 is taken as: 5, taking the first order constant T1 as: 1.
The excitation generator transfer function is: k2/(1+t2×s), where the proportionality constant K2 is taken as: 1, a first order constant T2 is taken as: 0.05.
The transfer function of the voltage measurement module is as follows: k3/(1+t3×s), where the proportionality constant K3 is taken as: 1, a first order constant T2 is taken as: 0.5.
The external load transfer function is: kf, wherein the proportionality constant Kf is taken as: 1.
S2, designing a steady-state excitation controller (PID control) according to an excitation generator control system, wherein the P parameters are as follows:
0.58, I parameters are: 0.39, d parameters are: 0.22.
S3: the dynamic excitation controller based on fuzzy control design excitation generator is integrated into the simulation control system.
(2) Under the steady-state working condition of the output voltage, a fluctuation signal of the rotating speed +/-50 RPM is given, and then a fluctuation signal of the load current 5A is given, so that the stability of the output voltage of the traditional excitation controller and the fuzzy excitation controller is compared.
The simulation waveform of the output voltage is shown in fig. 4, 0-1.5min is the starting working stage of the excitation generator, the output voltage is stabilized at the set voltage of 28V, and the steady-state excitation controller (PID control) can accurately control the output voltage; 1.5-4.8min is a rotational speed + -50 RPM fluctuation stage, the influence of rotational speed fluctuation on the stability of output voltage is difficult to be compensated by a traditional excitation controller (PID control), and the dynamic excitation controller can inhibit the rotational speed fluctuation, so that high-precision stable voltage is output; 4.8-8.2min is the load current 5A fluctuation phase, and the dynamic excitation controller has obvious effect of suppressing load current fluctuation.
The simulation result shows that the dynamic excitation controller of the excitation generator designed based on fuzzy control can effectively inhibit load current and rotation speed fluctuation, and high-precision stable control of output voltage is realized.
It is obvious that the specific implementation of the present invention is not limited by the above-mentioned modes, and that it is within the scope of protection of the present invention only to adopt various insubstantial modifications made by the method conception and technical scheme of the present invention.
Claims (7)
1. An excitation generator controller based on fuzzy control, which is characterized in that: the dynamic excitation controller processes the input rotating speed of the generator rotor and the load current through a fuzzy control algorithm and then outputs delta PWM1, and the PWM1 signals and the delta PWM1 signals are overlapped to control a power tube in an excitation power module;
The dynamic excitation controller comprises a deviation processing unit, a fuzzy control algorithm unit, a DSP control board and a driving module, wherein the deviation processing unit is used for respectively carrying out deviation processing on dynamic rotating speed and load current, the processed deviation data are sent to the fuzzy control algorithm unit, the fuzzy control algorithm unit is used for processing the deviation data to obtain pulse modulation signals delta PWM signals, the delta PWM signals are sent to the DSP control board, the DSP control board outputs driving signals, the driving signals are input to the driving module, and the driving module is used for converting the driving signals into analog control signals delta PWM1 for driving the power module.
2. A fuzzy control based field generator controller as set forth in claim 1 wherein: the fuzzy control algorithm unit comprises a fuzzy processing unit, a fuzzy reasoning rule establishing unit and a defuzzification processing unit, wherein the fuzzy processing unit performs fuzzification processing on the deviation current, the deviation rotating speed and the deviation PWM signal, a fuzzy reasoning table is generated through the rule set by the fuzzy reasoning rule establishing unit, and the defuzzification processing unit is used for outputting the corresponding delta PWM signal in combination with the fuzzy reasoning table.
3. A control method of a fuzzy control based excitation generator controller as defined in any one of claims 1-2, wherein: the method comprises the following steps:
generating a steady-state excitation control signal: the steady-state excitation controller outputs a PWM1 control signal based on PID control through the input load current and the rotation speed value;
Dynamic excitation control signal generation: the dynamic excitation controller processes the input rotor rotating speed and load current of the generator through a fuzzy control algorithm and outputs delta PWM1;
a signal output step: and the PWM1 signals and the delta PWM1 signals are overlapped and then used as output PWM signals, and the PWM signals are used for controlling the power tube in the excitation power module.
4. A control method of a fuzzy control based excitation generator controller as set forth in claim 3, wherein: the dynamic excitation control signal generation step includes:
(1) Respectively carrying out deviation treatment on the load current and the rotating speed of the excitation generator;
(2) Blurring processing deviation amount, establishing a deviation fuzzy reasoning rule and resolving fuzzy output delta PWM;
(3) The DSP control board outputs a driving signal according to the defuzzified output delta PWM;
(4) The driving module outputs a delta PWM1 signal according to the driving signal.
5. A control method of a fuzzy control based excitation generator controller as defined in claim 4, wherein: in the step (2), the blurring processing step includes:
And respectively dividing the current deviation amount, the rotating speed deviation amount and the Pulse Width Modulation (PWM) signal deviation amount into sections, and measuring the same number of end points of each deviation amount to divide the deviation amount into sections, wherein the end points are values in the corresponding sections.
6. A control method of a fuzzy control based excitation generator controller as defined in claim 4 or 5, characterized by: in the step (2), a deviation fuzzy reasoning rule and a fuzzy output delta PWM are established, end point values corresponding to each deviation amount are arranged from small to large, then a fuzzy reasoning table corresponding to the current deviation amount end point value and the rotating speed deviation amount end point value and the pulse width modulation PWM signal deviation amount end point value is formed, and corresponding output delta PWM values are obtained through the fuzzy reasoning table according to the real-time current deviation and the rotating speed deviation.
7. A control method of a fuzzy control based excitation generator controller as defined in claim 4 or 5, characterized by: the DSP control board converts the analog delta PWM signal into a driving signal, and converts the driving signal into an analog signal delta PWM1 capable of driving a power tube in the excitation power module through the driving module.
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