Multivariable Fuzzy Predictive Functional Control of a MIMO Nonlinear System

Author

Oblak, Simon ; Skrjanc, Igor

Author_Institution

Fac. of Electr. Eng., Ljubljana Univ.

fYear

2005

fDate

27-29 June 2005

Firstpage

1029

Lastpage

1034

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation

Conference_Location

Limassol

ISSN

2158-9860

Print_ISBN

0-7803-8936-0

Type

conf

DOI

10.1109/.2005.1467155

Filename

1467155