电动汽车无刷直流电机的改进模糊控制研究

Research on the Improved Fuzzy Control of Brushless DC Motor for Electric Vehicles

通过对永磁无刷直流电机数学模型的分析,提出一种基于遗传算法优化的模糊PID控制方法。并结合整车动力学模型用MATLAB/Simulink建立了采用该方法的电机仿真模型。分别对使用传统PID、模糊PID和遗传算法优化后的模糊PID的永磁无刷直流电机控制系统进行仿真。仿真结果表明所提控制方法具有较好控制效果,能够更好适应车辆频繁加减速等复杂运行工况。

According to the analysis of the mathematical model of the permanent magnet brushless DCmotor, this paper proposed a fuzzy PID control method based on genetic algorithm. The motor simulationmodel was established by using MATLAB/Simulink with the vehicle dynamics model. The simulationswere conducted on the brushless DC motor control system based on traditional PID, fuzzy PID, and fuzzyPID optimized by genetic algorithm. The results indicate that the proposed control method has better con-trol effect, and can better adapt to the complex operation conditions such as frequent acceleration and de-celeration of the vehicle.