DocumentCode :
2417946
Title :
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
Link To Document :
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