Direct adaptive control based on neural networks

Author

Da, Fei-Peng ; Song, Wen-zhong

Author_Institution

Inst. of Auotmation Res., Southeast Univ., Nanjing, China

Volume

1

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

289

Abstract

A direct adaptive control scheme based on the fuzzy neural networks (FNN) is presented to diminish the chattering of the sliding mode controller (SMC). In the control scheme SMC and FNN are incorporated by the smooth transformation. We plan to let the SMC force the state to slide into the boundary layer, then use the FNN in the boundary layer to diminish the chattering and obtain smaller tracking error since the FNN has the ability of approximation. The stability of the adaptive control system is proven. Simulation results are given to demonstrate the advantages of the proposed adaptive control scheme.

Keywords

adaptive control; control system synthesis; fuzzy neural nets; neurocontrollers; stability; variable structure systems; controller design; direct adaptive control scheme; fuzzy neural networks; sliding mode controller; stability analysis; Adaptive control; Control systems; Erbium; Fuzzy control; Fuzzy neural networks; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Sliding mode control;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1279267

Filename

1279267