Title :
Fuzzy model based predictive control of nonlinear processes
Author :
Bara, Alexandru ; Dale, Sanda
Author_Institution :
Dept. of Autom. & Drives, Univ. of Oradea, Oradea
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;
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
DOI :
10.1109/AQTR.2008.4588821
