A scheme of intelligent control applied to a servo system

Author

Chen, Kang ; Wang, Yaonan ; Xiong, Qiusi

Author_Institution

Dept. of Electr. Eng., Hunan Univ., Changsha, China

Volume

3

fYear

1996

fDate

5-10 Aug 1996

Firstpage

1735

Abstract

This paper presents a novel intelligent control scheme. It is a fuzzy logic controller (FLC) in combination with a neural network controller (NNC) based on a microcomputer. The combined controller is named a neural fuzzy controller (NFC). With the help of FLC inference, NNC can accelerate its self-learning process. Therefore the NFC, with the proposed scheme gains an excellent control reasoning and adaption. This has been proved effective both by simulations and a practical application in a servo system

Keywords

control engineering computing; control system synthesis; fuzzy control; inference mechanisms; intelligent control; microcomputer applications; neurocontrollers; servomechanisms; unsupervised learning; control reasoning; fuzzy logic controller; inference; intelligent control; microcomputer; neural fuzzy controller; neural network controller; self-learning process; servo system; Automatic control; Control systems; Electrical equipment industry; Expert systems; Fuzzy control; Fuzzy logic; Humans; Intelligent control; Neural networks; Servomechanisms;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on

Conference_Location

Taipei

Print_ISBN

0-7803-2775-6

Type

conf

DOI

10.1109/IECON.1996.570680

Filename

570680