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Design of a Self-tuning Controller with a PID Structure Using Neural Network  

Cho, Won-Chul (Department of Computer Electronic, Gyeongdo provincial College)
Jeong, In-Gab (Department of Computer Electronic, Gyeongdo provincial College)
Shim, Tae-Eun (Department of Computer Electronic, Gyeongdo provincial College)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.39, no.6, 2002 , pp. 1-8 More about this Journal
Abstract
This paper presents a generalized minimum-variance self-tuning controller with a PID structure using neural network which adapts to the changing parameters of the nonlinear system with nonminimum phase behavior and time delays. The neural network is used to estimate the controller parameters, and the control output is obtained through estimated controller parameter. In order to demonstrate the effectiveness of the proposed algorithm, the computer simulation is done to adapt the nonlinear nonminimum phase system with time delays and changed system parameter after a constant time. The proposed method compared with direct adaptive controller using neural network.
Keywords
Generalized minimum-variance control; Self tuning controller; Neural network; Direct adaptive controller; Nonminimum phase system;
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Times Cited By KSCI : 1  (Citation Analysis)
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