Proceedings of the KAIS Fall Conference (한국산학기술학회:학술대회논문집)
- 2009.05a
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- Pages.458-460
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- 2009
A Study on the PID controller auto-tuning using neural network learning
신경망 학습을 이용한 PID제어기 자동동조에 관한 연구
- Cho, Hyun-Seob (Dept of Digital Broadcast Engineering Chungwoon University) ;
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Oh, Myoung-Kwan
(Dept of Digital service, Hyejeon College)
- Published : 2009.05.22
Abstract
The parameters of PID controller should be readjusted whenever system character change. In spite of a rapid development of control theory, this work needs much time and effort of expert. In this paper, to resolve this defect, after the sample of parameters in the changeable limits of system character is obtained, these parametrs are used as desired values of back propagation learning algorithm, also neural network auto tuner for PID controller is proposed by determing the optimum structure of neural network. Simulation results demonstrate that auto-tuning proper to system character can work well.
Keywords