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		Yah ZHANG,Zengqiang CHEN,Zhuzhi YUAN.[en_title][J].Control Theory and Technology,2004,2(2):201~204.[Copy]

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YahZHANG,ZengqiangCHEN,ZhuzhiYUAN
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Received:July 16, 2002Revised:November 10, 2003

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Nonlinear system PID-type multi-step predictive control

Yah ZHANG, Zengqiang CHEN, Zhuzhi YUAN

(Department of Automation, Hebei University of Technology, Tianjin 300130, China;Department of Automation, Nankai University, Tianjin 300071, China)

Abstract:

A compound neural network was constructed during the process of identification and multi-step prediction.Under the PID-type long-range predictive cost function, the control sinal was calculated based on gradient algorithm.The nonlinear controller's structure was similar to the conventional PID controller.The parameters of tiffs controller were tuned by using a local recurrent neural network on-line.The controller has a better effect than the conventional PID controller.Simulation study shows the effectiveness and good performance.

Key words: Multi-step predictive control Neural networks PID control Nonlinear system