Research On Drive Control Of Permanent Magnet Synchronous Motor For Electric Vehicle

Faced with tense energy situation and increasingly severe ecological environment deterioration,the state vigorously advocates low-carbon travel for residents and implements policies to encourage development of new energy technologies.As a breakthrough point in realizing the energy transition,the development of electric vehicle has characteristics of economic efficiency,green and low carbon,so it plays a pivotal role in solving the energy crisis.Due to the special working conditions of electric vehicles,permanent magnet synchronous motors(PMSM)are required to have characteristics of a wide range of adjustable speed,fast starting speed,and strong robustness.In order to focus on improving these performances,this paper conducts an in-depth study on the PMSM control strategy.In the research process,direct torque control strategy based on the improved moth fire suppression algorithm(IMFO)optimized PID-PMSM and the permanent magnet synchronous motor vector control strategy based on IMFO optimized improved ADRC controller are proposed.The main research contents of this paper are as following:(1)Summarized the basic principles and technical difficulties of PMSM for electric vehiclesCompare the performance indicators of permanent magnet synchronous motors,switched reluctance motors,asynchronous motors,and DC motors.Choose surface-mount PMSM as research object;The PMSM model in the static three-phase coordinate system,stationary two-phase coordinate system and rotating two-phase coordinate system is derived,basic control principle of PMSM is introduced;The development trend of various control strategies in recent years is explained,and PMSM vector control based on the improved moth-fighting algorithm is proposed.Strategy.(2)Improved the existing moth fire suppression optimization algorithm,and proposed a direct torque control strategy for permanent magnet synchronous motors based on the chaotic sin-cosine optimization algorithm(IMFO)to adjust the PID controller parameters.According to the phototaxis principle of moths in nature,the basic principle and iterative process of moth fire suppression algorithm(MFO)are explained.Because the moth fire suppression algorithm is easy to fall into local optimum and convergence speed is slow,this paper introduces chaotic search to prevent the algorithm from falling into a local optimum solution;Verify the effectiveness of IMFO through 10 standard test functions.Secondly,the direct torque control system of permanent magnet synchronous motor based on PID controller is constructed,IMFO algorithm is applied to PID parameter optimization and setting,so as to improve the anti-interference ability of PMSM control system.Finally,through comparison experiment with traditional PID and particle swarm algorithm optimization PID controller,it is concluded that IMFO algorithm proposed in this paper tunes the PID control PMSM control system with faster response speed and stronger robustness.(3)A vector control strategy of permanent magnet synchronous motor based on IMFO algorithm to optimize the improved active disturbance rejection controller is proposed.Aiming at the problem that the control system of electric vehicles is highly sensitive to parameters and affects trobustness of the system,a permanent magnet synchronous motor(PMSM)control strategy with improved active disturbance rejection(ADRC)optimized by IMFO algorithm is proposed.This method used the difference fitting method to construct a new optimal control function based on the original fal(e,α,δ)function,which significantly improves the problem of output signal jitter and poor anti-disturbance at the inflection point of the fal(e,α,δ)function,At the same time,Improved moth fire suppression algorithm(IMFO)is used to optimize the parameters of ADRC,which reduces dependence of the motor control system on internal parameters and significantly improves robustness of the motor.Matlab simulation proves the effectiveness of the method.(4)Hardware experiment platform of permanent magnet synchronous motor control system for electric vehicles.In order to combine theory with practice,according to the necessary conditions required by the permanent magnet synchronous motor drive control system for electric vehicles,this paper builded the PMSM control system experimental platform based on the TMS320F28035DSP chip.The experimental platform is mainly composed of a control circuit board,two motors with the same parameters,an oscilloscope,a computer,and a circuit breaker.And installed with torque sensor,speed sensor.The control algorithm and software program proposed paper are programmed in CCS software and downloaded to the F28335 DSP chip through simulator.The proposed control strategy is further verified through this platform.