Fuzzy NN based predictive control and its application to green liquor system |
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| Authors: | Li Jiang Zhou Wei Zhang Liang-jun Li Ping |
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| Institution: | (1) Institute of Industrial Process Control, Zhejiang University, 310027 Hangzhou, China;(2) College of Electrical Engineering, Zhejiang University, 310027 Hangzhou, China |
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| Abstract: | The fuzzy NN predictive control algorithm introduced in this paper uses fuzzy neural network to model the nonlinear MIMO process.
Its training method that integrates LS and BP algorithm brings quick convergence. GPC algorithm is used as the predictive
component. The fuzzy neural network has six layers, including input layer, output layer and four hidden layers. An application
to a MIMO nonlinear process (green liquor system of the recovery system in a pulp factory shows that this algorithm has better
performance than normal PID algrithm.
Project (No. 20010539) supported by Education Office of Zhejiang Province. |
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| Keywords: | model predictive control fuzzy neural networks generalized predictive control |
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