Constrained multivariable predictive controller based on PSO algorithm and T-S fuzzy modeling approach

Author

Ali, Thamallah ; Anis, Sakly ; Faouzi, M´Sahli

Author_Institution

Electr. Dept., Eng. Sch. of Monastir, Monastir, Tunisia

fYear

2014

Firstpage

117

Lastpage

122

Abstract

This paper describes the development of a strategy to optimally tune constrained predictive controller of Multi Inputs Multi Outputs Nonlinear system with T-S fuzzy modeling approach. The proposed method consists of using T-S fuzzy modeling to determine process model. The intelligent algorithms Particle Swam Optimization is applied to provide the controls action by solving nonlinear optimization problems which is function of the future prediction outputs and the future inputs. The performance of this strategy is evaluated through its application to Quadruple-Tank Process.

Keywords

MIMO systems; fuzzy control; multivariable control systems; nonlinear control systems; nonlinear programming; optimal control; particle swarm optimisation; predictive control; PSO algorithm; T-S fuzzy modeling approach; constrained multivariable predictive controller; constrained predictive controller; intelligent algorithms; multiinputs multioutputs nonlinear system; nonlinear optimization problems; optimal tuning; particle swam optimization; process model; quadruple-tank process; MIMO; Mathematical model; Nonlinear systems; Optimization; Prediction algorithms; Predictive control; Predictive models; Constrained multivariable generalized predictive control; MIMO; Nonlinear System; Particle Swam Optimization PSO; T-S fuzzy model;

fLanguage

English

Publisher

ieee

Conference_Titel

Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2014 15th International Conference on

Type

conf

DOI

10.1109/STA.2014.7086785

Filename

7086785