A nonlinear adaptive predictive control algorithm based on OFS model

Authors:
Haitao Zhang;Zonghai Chen;Ming Li;Wei Xiang;Ting Qin
Affiliations:
Department of Control Science and Engineering, Huazhong University of Science and Technolog, Wuhan, P.R.China;Department of Automation, University of Science and Technology of China, Hefei, P.R.China;Department of Automation, University of Science and Technology of China, Hefei, P.R.China;Department of Automation, University of Science and Technology of China, Hefei, P.R.China;Department of Automation, University of Science and Technology of China, Hefei, P.R.China
Venue:
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Year:
2005

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Abstract

Firstly, a method is introduced which uses Volterra series deploying technique to construct a nonlinear model based on OFS model. Then an improved novel incremental mode multiple steps adaptive predictive control strategy is brought forward, which can import more information about the system's dynamical characteristics. Experiments of constant water pressure equipment's control prove that this proposed algorithm can effectively alleviate system's oscillation when used to control a plant with severe nonlinearity, and that this algorithm shows good robustness for outer disturbances. So it is suitable to be generalized to the design of complex industrial process controller.