Fuzzy PID-type Iterative Learning Control for Electro-hydraulic Servo System

Author

Yu, Shaojuan ; Ding, Xu ; Li, Lin ; Pan, Feng ; Xiong, Shibo ; Bai, Yanhong

Author_Institution

Electron. & Inf. Eng. Dept., Taiyuan Univ. of Sci. & Technol., Taiyuan, China

fYear

2010

fDate

26-28 Sept. 2010

Firstpage

671

Lastpage

674

Abstract

A new method of Fuzzy PID-Iterative learning control of Electro-hydraulic servo system was proposed, which was formed by incorporating fuzzy control and iterative learning control with control law. The learning law parameters, which are previously determined in the conventional design method, are regulated adaptively by fuzzy ruler respectively. The control arithmetic is simple and easy to implement. It can make system have strong robustness and improve the character of learning control. At the same time, tracking error can be adjusted by controller Parameters so that the speed of convergence has improved to some extent. The simulation results of a Electro-hydraulic servo system show that the scheme is correct.

Keywords

adaptive control; electrohydraulic control equipment; fuzzy control; iterative methods; learning systems; servomechanisms; three-term control; convergence speed; electrohydraulic servo system; fuzzy PID type iterative learning control; fuzzy control; Fuzzy control; Iterative methods; Niobium; Robustness; Servomotors; Valves; Electro-hydraulic servo system; fuzzy PID; iterative learning control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Aspects of Social Networks (CASoN), 2010 International Conference on

Conference_Location

Taiyuan

Print_ISBN

978-1-4244-8785-1

Type

conf

DOI

10.1109/CASoN.2010.153

Filename

5636670