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

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

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

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.

Original languageEnglish
Pages (from-to)122-141
Number of pages20
JournalMathematics and Computers in Simulation
Volume150
DOIs
StatePublished - Aug 2018

Keywords

  • Bio-inspired adaptive control
  • Bio-inspired optimization
  • DC motor
  • Differential evolution
  • Velocity control

Fingerprint

Dive into the research topics of 'Differential evolution based adaptation for the direct current motor velocity control parameters'. Together they form a unique fingerprint.

Cite this