Title :
Periodic Disturbance Rejection Method Using Iterative Learning Predictive Function Control
Author :
Wang, Jing ; Zhao, Jun ; Xu, Zuhua ; Qian, Jixin
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
Abstract :
In this paper, a robust control method is proposed for rejecting the periodic disturbance. Cooperating with predictive function control (PFC), iterative learning (IL) is used to deal with the period mismatch, that is, iterative learning control (ILC) is used to handle the periodic errors while PFC doing its job of system process control. Simulation results shows that the IL-PFC algorithm achieves significant improvement in rejecting periodic disturbance over the repetitive control scheme.
Keywords :
learning (artificial intelligence); predictive control; robust control; iterative learning predictive function control; periodic disturbance rejection method; repetitive control scheme; robust control method; Control systems; Error correction; Fuzzy systems; Industrial control; Iterative methods; Knowledge engineering; Optical control; Process control; Radio control; Signal generators; Iterative learning control; PFC; period mismatch; periodic disturbance rejection;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.195
