Authors:
F. Ben Aicha
;
F. Bouani
and
M. Ksouri
Affiliation:
Laboratory of Analysis and Control of Systems, National Engineering School of Tunis, Tunisia
Keyword(s):
Generalized predictive control, Multiobjective optimization, Multivariable systems, Decentralized control, Decouplers, Genetic algorithm.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
In this paper, a strategy for automatic tuning of decentralized predictive controller synthesis parameters based on multiobjective optimization for multivariable systems is proposed. This strategy integrates the genetic algorithm to generate the synthesis parameters (the prediction horizon, the control horizon and the cost weighting factor) making a compromise between closed loop performances (the overshoot, the variance of the control and the settling time). A simulation example is presented to illustrate the performance of this strategy in the on-line adjustment of generalized predictive control parameters.