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Fuzzy model based predictive control of nonlinear processes

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2 Author(s)
Bara, A. ; Dept. of Autom. & Drives, Univ. of Oradea, Oradea ; Dale, S.

A method of designing a nonlinear predictive controller based on relational fuzzy model is presented. The fuzzy model is incorporated as a predictor in a nonlinear model - based predictive controller, using internal model control scheme to compensate disturbances and modeling errors. A non-convex optimization problem must be solved at each sampling period. The algorithm is applied to temperature control in a heat exchanger.

Published in:

Automation, Quality and Testing, Robotics, 2008. AQTR 2008. IEEE International Conference on  (Volume:2 )

Date of Conference:

22-25 May 2008