Authors: Faten Ben Aicha; Faouzi Bouani; Mekki Ksouri
Addresses: National Engineering School of Tunis, BP 37, Le Belvedere 1002 el Manar Tunis, Tunisia. ' National Engineering School of Tunis, BP 37, Le Belvedere 1002 el Manar Tunis, Tunisia. ' National Engineering School of Tunis, BP 37, Le Belvedere 1002 el Manar Tunis, Tunisia
Abstract: In this paper, a strategy for automatic tuning of predictive controller synthesis parameters based on multi-objective optimisation is proposed. This strategy allows computation of the predictive controller synthesis parameters (the prediction horizon, the control horizon and the cost weighting factor) by minimising a set of closed-loop performances (the overshoot, the variance of the control and the settling time). Two simulation examples are presented to illustrate the performance of this strategy in the adjustment of generalised predictive control parameters.
Keywords: generalised predictive control; GPC; multi-objective optimisation; MOO; closed-loop performance; weighted sum method; WSM; genetic algorithms; GAs; supervisor; automatic tuning; simulation; parameter adjustment.
International Journal of Modelling, Identification and Control, 2012 Vol.16 No.2, pp.180 - 189
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