Adaptive fuzzy logic-controlled surface mount permanent magnet synchronous motor drive

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Permanent magnet synchronous machines (PMSMs) are becoming popular in industries due to their fast transient response, high power density and high efficiency. This paper presents rotor field-oriented control of a surface mount permanent magnet synchronous motor drive with a fuzzy logic-based speed controller. A model reference adaptive fuzzy logic controller is utilised in the place of a conventional speed proportional plus integral (PI) controller. Simulation and experimental results are provided to show the applicability of artificial intelligence-based speed control of PMSMs. Results are presented for both conventional PI-based control and proposed adaptive fuzzy logic control and compared. The novelty of the paper lies in the experimental implementation of the adaptive fuzzy logic controller in vector-controlled PMSM drive.

Original languageEnglish
Pages (from-to)465-475
Number of pages11
JournalSystems Science and Control Engineering
Issue number1
Publication statusPublished - 1 Jan 2014



  • Fuzzy logic
  • Model reference learning controller
  • Permanent magnet

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering
  • Control and Optimization

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