基于细菌觅食优化算法的永磁同步电机位置伺服系统模糊控制策略

Bacterial Foraging Optimization Algorithm Based Fuzzy Control Strategy for Permanent Magnet Synchronous Motor Position Servo System

针对PID控制器参数固定而引起永磁同步电机(PMSM)位置伺服系统控制效果不佳问题,设计了基于细菌觅食优化算法的模糊控制器。该位置控制系统是以空间矢量控制为理论基础,由位置环、速度环、电流环构成的PMSM三闭环控制系统。在MATLAB/Simulink环境中将模糊控制器应用在系统位置环上。对比仿真结果发现,参数优化后的模糊控制器在系统位置环的作用更加优越,完全克服了传统PID控制器的缺点,能有效提高电机位置控制的快速性和准确性。

Due to the parameters of the controller were fixed, the control effect of permanent magnet synchronous motor position servo system was not satisfying. So we design a fuzzy logic controller based on bacterial foraging optimization algorithm （BFOA）. Based on the theory of space vector control, the position control system was three closed loop control system of peimanent magnet synchronous motor which was consisted of the position loop, speed loop and current loop. The fuzzy logic controller was applied to the position loop in the MATLAB/Simulink environment. The simulation results showed that compared with the traditional PID method, the fuzzy control scheme based on BFOA had better control quality and stronger ability of restraint interference, and could effectively improve the rapidity and accuracy of the motor position control.