Modeling and Simulation of Brushless DC Motor Adaptive Fuzzy PID Control System for Pure Electric Vehicle
Pure Electric Vehicles (PEV) is an important research direction to solve the problems of auto environment and energy sources.Research double close-loop control system of PEV driven by Brushless Direct Current Motor (BLDCM) has the practical value.Traditional PID controllers have some advantages of being simple,reliable and effective for linear systems,but not for time-varying systems or highly non-linear systems.In order to improve the performances in both steady state and transient state of control system,an Adaptive Fuzzy PID Controller (AFPIDC) can be employed.The dynamic model of PEV and the mathematic model of BLDCM can be analyzed and established.Simulation model of Speed and Current Double Close-Loop Control System are implemented by MatlabT.0/simulink.The simulation results show that the system has rapid response,without static error and overshoot,good performance and strong robustness,high capacity of resisting disturbance.
Pure Electric Vehicle (PEV) Brushless Direct Current Motor (BLDCM) Adaptive Fuzzy PID Controller (AFPIDC) Simulation
Song Shu Zhang Ya-jun
School of Electronic and Control Engineering,Changan University,Xian,P.R.China
国际会议
太原
英文
1339-1343
2012-01-13（万方平台首次上网日期，不代表论文的发表时间）