›› 2018, Vol. 31 ›› Issue (1): 29-.

• 论文 • 上一篇    下一篇

基于模糊自适应PID控制的速度调节器设计与仿真

金爱娟,郑天翔,纪晨烨,苏俊豪,蒋育晟,郝陈祥   

  1. 上海理工大学 光电信息与计算机工程学院
  • 出版日期:2018-01-15 发布日期:2018-01-11
  • 作者简介:金爱娟(1972-),女,博士,副教授。研究方向:电机驱动控制。 郑天翔(1992-),男,硕士研究生。研究方向:电力电子及电机驱动控制。
  • 基金资助:

    国家自然科学基金(61205076)

Design and Simulation of Speed Regulator Based on Adaptive Fuzzy PID Control

IN Aijuan,ZHENG Tianxiang,JI Chenye,SU Junhao,JIANG Yusheng,HAO Chenxiang   

  1. School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology
  • Online:2018-01-15 Published:2018-01-11

摘要:

针对异步电动机非线性的特点,考虑到传统PID控制难以对其进行有效的控制的问题。文中设计了一种模糊自适应PID控制器,并将这种控制器应用到系统的转速调节的环节中。利用Matlab的Simulink工具搭建了模糊自适应PID控制的异步电机的仿真模型。仿真实验结果证明了设计的优越性,模糊自适应PID控制下的系统超调变小,反应速度变快,与原先的PID控制方式相比提高了系统的稳定性、动态响应性能以及鲁棒性能。

关键词: 模糊控制, PID调节, Simulink

Abstract:

In terms of nonlinear feature of asynchronous motor, it is considered difficult to adopt conventional proportional-integral-differential (PID) method to take effective control on the motor. A sort of controller via adaptive, PID and fuzzy method is then proposed and also applied to the speed regulation section. By using Simulink software tools in Matlab, a simulation model of fuzzy adaptive PID control for asynchronous motor is established. The computer simulation indicates the priority of the design which can be seen from that the overshoot and response of the system is reduced. The stability, dynamic responding and robust performance of the system are also improved comparing to the former control method of PID.

Key words: fuzzy control;PID regulation;simulink

中图分类号: 

  • TP273