Fuzzy model based predictive control of nonlinear processes

Author

Bara, Alexandru ; Dale, Sanda

Author_Institution

Dept. of Autom. & Drives, Univ. of Oradea, Oradea

Volume

2

fYear

2008

fDate

22-25 May 2008

Firstpage

203

Lastpage

206

Abstract

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.

Keywords

fuzzy control; heat exchangers; nonlinear control systems; optimisation; predictive control; temperature control; fuzzy model based predictive control; heat exchanger; internal model control scheme; nonconvex optimization problem; nonlinear predictive controller design; nonlinear processes; relational fuzzy model; temperature control; Automatic control; Automation; Displacement control; Fuzzy control; Fuzzy sets; Fuzzy systems; Mathematical model; Predictive control; Predictive models; Sampling methods; model-based control; optimization problem; predictive control; relational fuzzy model;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation, Quality and Testing, Robotics, 2008. AQTR 2008. IEEE International Conference on

Conference_Location

Cluj-Napoca

Print_ISBN

978-1-4244-2576-1

Electronic_ISBN

978-1-4244-2577-8

Type

conf

DOI

10.1109/AQTR.2008.4588821

Filename

4588821