Research On Drive Control Method Of Permanent Magnet Syschronous Motor For Electric Vehicle

With the vehicle retention increasing dramatically in the world, energy and environment problem is becoming more and more serious. Green transportation tools with low exhaust and high energy efficiency are urgently needed. The electric vehicle (EV), which is generically economic and environmental friendly, has beome the most important hot spot in transportation vehicle research worldwide. EV will become one of most important transportation tools in21st century.Motor drive system is the heart of the EV, and is also one of the key technologies of development for EV, which directly determines the performance of EV. The Permanent Magent Synchonous Motor (PMSM), which has high efficiency, high power density and good speed performance, becomes the first choice for the EV drive motor. Therefore, the research on the computer control system of PMSM has a high theoretical and practical significance.This paper thoroughly studies EV drive control method based on the PMSM, according to the vector control theory of PMSM, the main research contents are as follows:(1) Base on the vector control theory of PMSM, combined with the the mathematical model of PMSM, in the Matlab/Simulink environment, the vector control system model of PMSM is established, and through the simulation research to it. The simulation results show that the design of the simulation model is feasible.(2) According to the drive control systems are vulnerable to nonline factor and the influence of the external disturbance, this paper puts forward a method using the parameter self-setting fuzzy PID control, on-line self-tuning PID parameters. Based on the parameter self-setting fuzzy PID controller, combined with the vector control system model of PMSM, vector control system of PMSM based on the parameter self-seting fuzzy PID is simulated. Through the analysis to the simulation result, it indicates that the system’s dynamic and static performance and robustness have got certain improvement.(3) According to the design of the fuzzy control rules and the membership function’s selection have very big subjectivity, this paper proposes a method which optimize quantification factors and proportion factors of the fuzzy PID controller by using genetic algorithm, which is applied to the established vector control system of EV with PMSM drive, and through the simulation research to it. The simulation results show that the control quality of fuzzy PID controller has been further improved and enhanced after optimization.