Title :
Multivariable Fuzzy Predictive Functional Control of a MIMO Nonlinear System
Author :
Oblak, Simon ; Skrjanc, Igor
Author_Institution :
Fac. of Electr. Eng., Ljubljana Univ.
Abstract :
A novel approach of multivariable fuzzy predictive functional control is presented. The control law is derived in the state-space domain, and given in an analytical form. The method was tested on a model of a 2-by-2 MIMO nonlinear plant, and compared to the control system using gain-scheduling of a linear dynamic compensator. The process was linearized in 63 operating points, and the compensator parameters were optimized using Edmunds´ frequency-response-based technique. The results show that the proposed approach exhibits better reference-model tracking in a wider operating range, even without the use of optimization
Keywords :
MIMO systems; compensation; frequency response; fuzzy control; nonlinear control systems; predictive control; state-space methods; Edmunds frequency-response-based technique; MIMO nonlinear system; gain scheduling; linear dynamic compensator; multivariable fuzzy predictive functional control; reference-model tracking; state-space domain; Control system synthesis; Control systems; Frequency; Fuzzy control; Fuzzy systems; MIMO; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; System testing;
Conference_Titel :
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location :
Limassol
Print_ISBN :
0-7803-8936-0
DOI :
10.1109/.2005.1467155
