Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1176797
