Fuzzy-logic controller for brushless DC PM motor

Martin Moreno Guzmán, Antonio Hernández Zavala, Iván Domínguez López, Rodolfo Orosco Guerrero

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

Abstract

This paper describes a speed controller for brushless motor. The driver was electronically designed and constructed by the authors to control the speed of a commercial brushless motor. The authors considered the error and delta error as inputs, and only one output named as delta output, these inputs and outputs were communicated between a 32-bit and an 8-bit microcontroller by serial peripheral protocol. Each input and output has five-membership functions. Inference mechanism has 25 rules and as defuzzification the authors used the Center of Gravity method. The brushless motor behavior was studied for two different set points. A comparison between the real plant versus simulations using fuzzy-logic control is presented.

Original languageEnglish
Title of host publicationProceedings of the 2016 International Conference on Artificial Intelligence, ICAI 2016 - WORLDCOMP 2016
EditorsHamid R. Arabnia, David de la Fuente, Roger Dziegiel, Elena B. Kozerenko, Peter M. LaMonica, Raymond A. Liuzzi, Jose A. Olivas, Todd Waskiewicz, George Jandieri, Ashu M.G. Solo, Fernando G. Tinetti
PublisherCSREA Press
Pages506-510
Number of pages5
ISBN (Electronic)1601324383, 9781601324382
StatePublished - 2016
Event2016 International Conference on Artificial Intelligence, ICAI 2016 - WORLDCOMP 2016 - Las Vegas, United States
Duration: 25 Jul 201628 Jul 2016

Publication series

NameProceedings of the 2016 International Conference on Artificial Intelligence, ICAI 2016 - WORLDCOMP 2016

Conference

Conference2016 International Conference on Artificial Intelligence, ICAI 2016 - WORLDCOMP 2016
Country/TerritoryUnited States
CityLas Vegas
Period25/07/1628/07/16

Keywords

  • Brushless DC motor
  • Fuzzy-logic control
  • Real time systems
  • Speed controller

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