Artificial intelligence applications in Permanent Magnet Brushless DC motor drives

R. A. Gupta, Rajesh Kumar, Ajay Kumar Bansal

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)

Abstract

Permanent Magnet Brushless DC (PMBLDC) machines are more popular due its simple structure and low cost. Improvements in permanent magnetic materials and power electronic devices have resulted in reliable, cost effective PMBLDC drives, for many applications. Advances in artificial intelligent applications like neural network, fuzzy logic, Genetic algorithm etc. have made tremendous impact on electric motor drives. The brushless DC motor is a multivariable and non-linear system. In conventional PMBLDC drives speed and position sensing of brushless DC motors require high degree of accuracy. Unfortunately, traditional methods of control require detailed modelling of all the motor parameters to achieve this. The Intelligent control techniques like, fuzzy logic control/Neural network control etc. uses heuristic input-output relations to deal with vague and complex situations. This paper presents a literature survey on the intelligent control techniques for PMBLDC motor drives. Various AI techniques for PMBLDC motor drives are described. Attempt is made to provide a guideline and quick reference for the researchers and practicing engineers those are working in the area of PMBLDC motor drives.

Original languageEnglish
Pages (from-to)175-186
Number of pages12
JournalArtificial Intelligence Review
Volume33
Issue number3
DOIs
Publication statusPublished - Mar 2010
Externally publishedYes

Keywords

  • Artificial intelligent
  • Fuzzy
  • Intelligent control
  • Neural network
  • PMBLDC

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language
  • Artificial Intelligence

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