A framework for robust neural network-based control of nonlinear servomechanisms

Author

Lee, T.H. ; Wang, Q.-G. ; Tan, W.K.

Author_Institution

Nat. Univ. of Singapore, Singapore

fYear

1994

fDate

5-9 Dec 1994

Firstpage

78

Lastpage

82

Abstract

A framework for robust neural network-based control of nonlinear servomechanisms is proposed. It utilizes a general controller structure comprising a nonlinear compensation block and a robust control block. Two strategies for designing the control laws are discussed and uniform stability of the overall system in the presence of modelling mismatches and nonparametric uncertainty is achieved. This framework is demonstrated in implementation experiments for position control in a servomechanism with asymmetrical changing load

Keywords

compensation; neural nets; neurocontrollers; nonlinear control systems; position control; robust control; servomechanisms; stability; neural network-based control; nonlinear compensation; nonlinear servomechanisms; nonparametric uncertainty; position control; robust control; stability; Control systems; Ear; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Position control; Robust control; Servomechanisms; Stability; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Technology, 1994., Proceedings of the IEEE International Conference on

Conference_Location

Guangzhou

Print_ISBN

0-7803-1978-8

Type

conf

DOI

10.1109/ICIT.1994.467183

Filename

467183