Differential evolution based adaptation for the direct current motor velocity control parameters

Miguel G. Villarreal-Cervantes, Efrén Mezura-Montes and José Yaír Guzmán-Gaspar

Mathematics and Computers in Simulation (MATCOM), 2018, vol. 150, issue C, 122-141

Abstract: The adaptive design of the control system for a direct current motor is solved by proposing differential evolution based control adaptation (DEBAC). From the comparison of two differential evolution variants with two constraint-handling techniques, a competitive algorithm based on arithmetic crossover and a set of feasibility rules is obtained. In addition, a comparison of such competitive differential evolution variant against a traditional control technique considering stabilization and tracking is provided. Based on the empirical results, the proposed approach outperforms the traditional method by using three well-known performance indices for closed-loop control, confirming that DEBAC is a valid alternative to control the direct current motor under parametric uncertainties.

Keywords: Bio-inspired adaptive control; Differential evolution; Bio-inspired optimization; DC motor; Velocity control (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:150:y:2018:i:c:p:122-141

DOI: 10.1016/j.matcom.2018.03.007

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