Modeling and Simulation of Brushless DC Motor Adaptive Fuzzy PID Control System for Pure Electric Vehicle

摘要

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 Matlab7.0/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.