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Neural network approach for linearizing control of nonlinear process plants

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3 Author(s)
Fazlur Rahman, M.H.R. ; Dept. of Electr. Eng., Singapore Polytech., Singapore ; Devanathan, R. ; Zhu KuanYi

The application of a feedback linearization technique using artificial neural networks (ANNs) for a nonlinear industrial process plant is considered in this paper. The process plant is modeled first using an ANN, and then the dynamic neural network model acting as a process plant emulator is feedback linearized. A novel configuration for linearization of an ANN emulator using only backpropagation is used. Effective control of the linearized emulator is then exhibited using a linear controller. Experimentation and simulation results on the linearized emulator are presented to demonstrate the effectiveness of the feedback linearization technique

Published in:

Industrial Electronics, IEEE Transactions on  (Volume:47 ,  Issue: 2 )

Date of Publication:

Apr 2000

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