Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1997.07b
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- Pages.606-608
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- 1997
A Study on The Neural Network Controller using Relative Gain Matrix Technique
상대이득 행렬 기법을 이용한 신경망 제어기 설계에 관한 연구
- Seo, Ho-Joon (Korea Univ. Electrical Eng.) ;
- Seo, Sam-Jun (Anyang Univ. Electrical Eng.) ;
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Kim, Dong-Sik
(SoonChunHyang Univ Control & Instr.) ;
- Park, Gwi-Tae (Korea Univ. Electrical Eng.)
- Published : 1997.07.21
Abstract
In this paper, Neuro-Fuzzy Controller(NFC), a fuzzy system realized using a neural network, is to adopt for the multivariable system. In the multivariable system, the interactive effects between the variables should be taken into account. A simple compensator, using the steady-state information can be obtained for open-loop stable systems, is presented to cope with this problem. However, it should be supposed that the plant is unknown to the control system designer, but an estimate of the DC gain has been obtained by carrying out experiments on the plant. Also, if the variables are not combinated completely, it is difficult to design the controller. Therefore, we design a neuro-fuzzy controller which controls a multivariable system with only input output informations, and compare its performance with that of a PI controller. In the proposed controller, the construction of the membership functions and rule base, which is highly heuristic, can be achieved using a training process. This allows the combination of knowledge of human experts and evidence from input-output data.
Keywords