Differential evolution based intelligent control for speed regulation of a PMDC motor

Asim H. Syed, M. A. Abido

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Differential Evolution (DE) is an evolutionary algorithm (EA) known for its simplicity, robustness and performance. Compared to other EAs, DE has shown better performance according to recent research. In this paper a DE algorithm is designed for controller optimization of a PMDC motor speed regulation system. Presenting a comprehensive description of the plant, architecture is designed for automatic speed regulation. Then the DE algorithm is applied on the system to optimize the controller parameters. Performance of the optimal controller is studied with simulations and performance and robustness of the DE algorithm has been analyzed.

Original languageEnglish
Title of host publication2013 21st Mediterranean Conference on Control and Automation, MED 2013 - Conference Proceedings
Pages1451-1456
Number of pages6
DOIs
StatePublished - 2013

Publication series

Name2013 21st Mediterranean Conference on Control and Automation, MED 2013 - Conference Proceedings

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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