Title :
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
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;
Conference_Titel :
Industrial Technology, 1994., Proceedings of the IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
0-7803-1978-8
DOI :
10.1109/ICIT.1994.467183
