Improved self-adaptive Smith predictive control scheme for time-delay system

Author

Feng, Dong-Mei ; Pan, Feng ; Han, Ru-Cheng

Author_Institution

Autom. Dept., Taiyuan Heavy Machinery Inst., China

Volume

1

fYear

2002

fDate

2002

Firstpage

463

Abstract

This paper presents an improved self-adaptive Smith predictive control scheme for time-delay systems. An FNNC (Fuzzy Neural Network Controller) is used to control the plant instead of the conventional PID controller, an improved identification algorithm with an adaptive vector forgetting factor is used to identify time-varying parameters, and the Smith predictor is realised. Simulation results show that this method can suppress the effects of parameter variations.

Keywords

adaptive control; control system synthesis; delay systems; fuzzy control; fuzzy neural nets; neurocontrollers; predictive control; time-varying systems; FNNC; Smith predictor; adaptive vector forgetting factor; fuzzy neural network controller; identification algorithm; parameter variation effect suppression; self-adaptive Smith predictive control scheme; simulation results; time-delay system; time-varying parameters; Adaptive control; Automatic control; Control systems; Delay; Fuzzy control; Fuzzy neural networks; Predictive control; Predictive models; Programmable control; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on

Print_ISBN

0-7803-7508-4

Type

conf

DOI

10.1109/ICMLC.2002.1176797

Filename

1176797