Title :
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
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;
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-8785-1
DOI :
10.1109/CASoN.2010.153
