Journal of EEIS
Current Result Document :
| 한글제목(Korean Title) |
An Adaptive Neural-Network Compensator for Control Systems with Application to Robot Manipulator |
| 영문제목(English Title) |
An Adaptive Neural-Network Compensator for Control Systems with Application to Robot Manipulator |
| 저자(Author) |
Young-Kiu Choi
Min-Jung Lee
Sungshin Kim
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| 원문수록처(Citation) |
VOL 05 NO. 02 PP. 0061 ~ 0065 (2000. 04) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Recently, a lot of studies have been made for intelligent controls using the neural-network (NN). These NN approaches for control strategies are based on the concept to replace the conventional controller with a new NN controller. However, it is usually difficult and unreliable to replace the factory-installed controller with another controller in the work place. In this case, it is desirable to install an additional outer control loop around the conventional control system to compensate for the control error of the conventional control system.
This paper presents an adaptive NN compensator for the outer loop to compensate for the control errors of conventional control systems. The adaptive NN compensator generates a new command signal to the conventional control system using the control error that is a difference between the desired reference input and the actual response. The proposed NN compensated control system adapts to the environment changes and is more robust than the conventional control systems.
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| 키워드(Keyword) |
Intelligent Control
Neural-network
Adaptive NN Compensator
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| 파일첨부 |
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