PSO based on-line optimization for DC motor speed control

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10 Citations (Scopus)

Abstract

Abstract—In this paper, an on-line optimization approach based on particle swarm optimization (PSO) for DC motor speed control is proposed. Here, the main idea is to design speed controllers, discovering on-line the gains. In this work both PID controllers and sliding mode controllers (SMC) are considered. The main contributions are the optimization approach based on the minimization of an objective (cost) function based on different indexes including the Harris index, and the on-line serialization of the parallel PSO optimization scheme. In order to show the performance, simulation results with a nonlinear neural model of the Feedback setup with the DC motor 63-110 are presented.
Original languageEnglish
Title of host publicationProceedings of 9th International Conference on Compatibility and Power Electronics
Place of PublicationCaparica, Lisbon
Pages301-306
ISBN (Electronic)978-1-4799-6301-0
DOIs
Publication statusPublished - 1 Jun 2015
Event9th International Conference on Compatibility and Power Electronics, CPE 2015 - Caparica, Lisbon, Portugal
Duration: 24 Jun 201526 Jun 2015

Conference

Conference9th International Conference on Compatibility and Power Electronics, CPE 2015
CountryPortugal
CityCaparica, Lisbon
Period24/06/1526/06/15

Keywords

  • Controllers
  • Electric machine control
  • Nonlinear feedback
  • Particle swarm optimization (PSO)
  • Power electronics
  • Sliding mode control
  • Speed control
  • Three term control systems

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  • Cite this

    Palma, L., Coito, F., Ferreira, B., & Gil, P. (2015). PSO based on-line optimization for DC motor speed control. In Proceedings of 9th International Conference on Compatibility and Power Electronics (pp. 301-306). [ 7231090] Caparica, Lisbon. https://doi.org/10.1109/CPE.2015.7231090