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

Volume

2

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

494

Lastpage

498

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3735-1

Type

conf

DOI

10.1109/FSKD.2009.195

Filename

5359498