A Fuzzy Adaptive Control System with Dynamical Compensation of Neuron

Author

Liu, Meijun ; Feng, Jian

Author_Institution

Hunan Inst. of Eng., Xiangtan

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3825

Lastpage

3828

Abstract

For a class of complex nonlinear systems, combined with the characteristics of fuzzy PID and neural network technology, a fuzzy adaptive control strategy with dynamical compensation of single neuron is presented. A single neuron network is used as the dynamical compensator to eliminate unmodeled and nonlinear coupled effects so that the error can be effectively reduced. It improves dynamic performance and steady accuracy of the system; Applied on positioning equipment, the simulation experiment results show that the proposed control strategy is feasible, it improves the robustness and the control precision of fuzzy system. It is an effective method of combining control

Keywords

adaptive control; compensation; fuzzy control; large-scale systems; neurocontrollers; nonlinear control systems; three-term control; PID control; complex nonlinear systems; fuzzy adaptive control system; fuzzy control; neural dynamical compensator; neural network; single neuron network; Adaptive control; Couplings; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Neural networks; Neurons; Nonlinear dynamical systems; Nonlinear systems; Three-term control; PID control; adaptive; fuzzy control; neural dynamical compensator; simulation experiment;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713087

Filename

1713087