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Multiobjective approach developed for optimizing the dynamic behavior of incremental linear actuators

Imen Amdouni, Lilia El Amraoui, Frédéric Gillon, Mohamed Benrejeb, Pascal Brochet
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Abstract

Purpose

The purpose of this paper is to develop an optimal approach for optimizing the dynamic behavior of incremental linear actuators.

Design/methodology/approach

First, a parameterized design model is built. Second, a dynamic model is implemented. This model takes into account the thrust force computed from a finite element model. Finally, the multiobjective optimization approach is applied to the dynamic model to optimize control as well as design parameters.

Findings

The Pareto front resulting from the optimization approach (or the parallel optimization approach,) is better than the Pareto, which is obtained from the only application of MultiObjective Genetic Algorithm (MOGA) method (or parallel MOGA with the same number of optimization approach objective function evaluations). The only use of MOGA can reach the region near an optimal Pareto front, but it consumes more computing time than the multiobjective optimization approach. At each flowchart stage, parallelization leads to a significant reduction of computing time which is halved when using two-core machine.

Originality/value

In order to solve the multiobjective problem, a hybrid algorithm based on MOGA is developed.

Keywords

Citation

Amdouni, I., El Amraoui, L., Gillon, F., Benrejeb, M. and Brochet, P. (2014), "Multiobjective approach developed for optimizing the dynamic behavior of incremental linear actuators", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 33 No. 3, pp. 953-964. https://doi.org/10.1108/COMPEL-06-2013-0205

Publisher

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Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

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