Title :
Synthesizing Fuzzy Based Model Predictive Controller
Author :
Mattar, Ebrahim A. ; Al Mutib, K.H.
Author_Institution :
Dept. of Electr. Electron. Eng., Univ. of Bahrain, Sakhir, Bahrain
Abstract :
The article presents a Fuzzy structure for a Model Predictive Control (MPC) system. MPC theorem has earlier been incorporated with fuzzy models. Such an integration provides controller design methods for an MPC control system. The paper concentrates on aspects of fuzzy based MPC for multivariable systems. Mathematical formulation of linearized MPC is utilized to introduce the concept of fuzzy based MPC scheme, then fuzzy MPC is constructed based on a modeled pH reactor. Results have shown that although the plant was nonlinear in characteristics, but still the employed Neuro-fuzzy system was able to model the plant into three different linear regions.
Keywords :
control system synthesis; fuzzy control; multivariable control systems; nonlinear control systems; predictive control; fuzzy controller; linearized MPC system; model predictive controller; multivariable system; neuro-fuzzy system; pH reactor; Adaptation models; Computational modeling; Fuzzy systems; Inductors; Mathematical model; Predictive control; Predictive models;
Conference_Titel :
Computational Intelligence, Modelling and Simulation (CIMSiM), 2011 Third International Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4577-1797-0
DOI :
10.1109/CIMSim.2011.29
