Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1997.07b
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- Pages.609-611
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- 1997
Self-tuning of PID controller using diagonal recurrent neural networks
Diagonal 리커런트 신경망을 이용한 PID 제어기의 자기동조
- Shin, Jong-Wook (Kumoh National University of Technology) ;
- Chai, Chang-Hyun (Kumoh National University of Technology) ;
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Kim, Sang-Hee
(Kumoh National University of Technology)
;
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Choi, Han-Go
(Kumoh National University of Technology)
- Published : 1997.07.21
Abstract
In this paper, we propose the self-tuning of PID controller using diagonal recurrent neural networks. The characteristic of the proposed structure is on-line adaptive learning scheme in spite of variations of feedback, signals. Control performance is compared with that of neural network based PID controller which was proposed by Iwasa. Computer simulation results show that the proposed controller is effective in controlling of unknown nonlinear plants.
Keywords