Process Control Using a Neural Network Combined with the Conventional PID Controller

A neural controller for process control is proposed that combines a conventional multi-loop PID controller with a neural network. The concept of target signal based on feedback error is used for on-line learning of the neural network. This controller is applied to distillation column control to illustrate its effectiveness. The result shows that the proposed neural controller can cope well with disturbance, strong interactions, time delays without any prior knowledge of the process.
Publisher
제어·로봇·시스템학회
Issue Date
2000
Language
ENG
Citation

제어.로봇.시스템학회 논문지, v.6, no.6, pp.196 - 200

ISSN
1976-5622
URI
http://hdl.handle.net/10203/71237
Appears in Collection
CBE-Journal Papers(저널논문)
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