Research on Design and Control Algorithm of Iterative Learning Controller for Loading System
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.
fuzzy controliterative learningelectric servo loadingST language
国家科技期刊平台
NSTL
万方数据
维普
