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.
- Fuzzy logic
- Model reference learning controller
- Permanent magnet
ASJC Scopus subject areas
- Artificial Intelligence
- Control and Systems Engineering
- Control and Optimization