软件导刊2024，Vol.23Issue(1)：26-31,6.DOI:10.11907/rjdk.222520
加载系统迭代学习控制器设计与控制算法研究
Research on Design and Control Algorithm of Iterative Learning Controller for Loading System
李沛辙 1白国振1
作者信息
- 1. 上海理工大学 机械工程学院,上海 200082
- 折叠
摘要
Abstract
In order to make the electric servo loading system achieve better control effect,improve a series of problems such as poor torque fol-lowing effect,large amplitude error and phase error,and difficult to apply complex control algorithm,an iterative learning controller based on fuzzy control is designed by using the characteristics of fuzzy control self-adaptation and high tracking accuracy of iterative learning.The algo-rithm is written in ST language,and the torque curve is collected by loading the experimental bench.It can be seen from the experiment that the iterative learning controller based on fuzzy control not only has the advantages of high tracking accuracy of ordinary iterative learning con-troller,but also has the characteristics of adaptive fuzzy control.It can achieve the required torque curve faster with less iterations,which proves the superiority and feasibility of the iterative learning controller based on fuzzy control.关键词
模糊控制/迭代学习/电动伺服加载/ST语言Key words
fuzzy control/iterative learning/electric servo loading/ST language分类
动力与电气工程引用本文复制引用
李沛辙,白国振..加载系统迭代学习控制器设计与控制算法研究[J].软件导刊,2024,23(1):26-31,6.
