基于模糊自适应PID和BP神经网络PID控制的永磁同步电机控制效果比较研究  

Comparative Study on the Control Effect of Permanent Magnet Synchronous Motors Based on Fuzzy Adaptive PID and BP Neural Network PID Control

作　　者：展明星[1] 王致诚 李致远 ZHAN Mingxing;WANG Zhicheng;LI Zhiyuan(Liuzhou Railway Vocational and Technical College,Guangxi Liuzhou 545616,China)

机构地区：[1]柳州铁道职业技术学院,广西柳州545616

出　　处：《广西电力》2022年第1期26-32,共7页Guangxi Electric Power

基　　金：柳州铁道职业技术学院科技项目(2021-KJB04,2022-KJB18);柳州铁道职业技术学院重点教材项目(2022-JC03)。

摘　　要：分析模糊自适应PID控制器和BP神经网络PID控制器作为速度环在永磁同步电机双闭环调速系统中的应用效果,在改变目标转速和目标转矩两种扰动情况下分别比较两种方法各自特点。设计矢量控制模型和永磁同步电机双闭环调速系统,并采用MATLAB/Simulink环境对所述系统进行仿真实验。仿真结果表明模糊自适应PID控制器具有调节时间短、响应速度快的优点,而BP神经网络PID控制器则在稳定性和抑制最大超调量等方面具有优势。The application effect of fuzzy adaptive PID controller and BP neural network PID controller as the speed loop in the double closed-loop speed control system of permanent magnet synchronous motors is analyzed. The characteristics of the two methods are compared by changing either the target speed or the target torque. The vector control model and the double closed-loop speed regulation system of permanent magnet synchronous motors are designed and simulated in MATLAB/Simulink environment. Simulation results show that the fuzzy adaptive PID controller has the advantages of short adjustment time and quick response, while the BP neural network PID controller has advantages in stability and restraining the maximum overshoot.

关 键 词：永磁同步电机 模糊自适应控制 BP神经网络 PID控制器 坐标变换 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]