Title: Feedforward gain tuning with genetic algorithm

Authors: Maher Ben Hariz; Faouzi Bouani

Addresses: LR11ES20 Laboratoire Analyse, Conception et Commande des Systèmes, Ecole Nationale d'Ingénieurs de Tunis, Université de Tunis El Manar, Tunis, Tunisia ' LR11ES20 Laboratoire Analyse, Conception et Commande des Systèmes, Ecole Nationale d'Ingénieurs de Tunis, Université de Tunis El Manar, Tunis, Tunisia

Abstract: This paper deals with the design of a fixed low order controller that ensures some closed loop temporal specifications such as settling time and overshoot. Determining the controller parameters involves the resolution of a non-convex optimisation problem. Since the problem is not convex and in order to reach the global optimum, a global optimisation method has been applied. In order to annul the steady state error especially in presence of system parameters variation, two methods are proposed to compute, online, the feedforward gain. The first method is based on the genetic algorithm and the second one is founded on the classic gradient method. By adopting the proposed procedure, users have only to specify the desired closed loop performances. Simulation results are proposed to shed light on the efficiency of the controller.

Keywords: low order controller; temporal specifications; genetic algorithm; online gain tuning.

DOI: 10.1504/IJMIC.2021.123381

International Journal of Modelling, Identification and Control, 2021 Vol.39 No.1, pp.74 - 82

Received: 19 Jul 2020
Accepted: 16 Mar 2021
Published online: 13 Jun 2022 *

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