Hybrid optimal fuzzy Jaya technique for advanced PMSM driving control

Permanent magnet synchronous motor (PMSM) drives are widely used in civil and industrial applications because of their high efficiency, high power density, and low maintenance costs. To improve the tracking efficiency of variable speed PMSM drive, intelligent control methods used in speed control PM...

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Bibliographic Details
Published in:Electrical engineering 2023-12, Vol.105 (6), p.3629-3646
Main Authors: Khanh, Pham Quoc, Anh, Ho Pham Huy
Format: Article
Language:English
Subjects:
Algorithms
Control methods
Controllers
Economics and Management
Efficiency
Electrical Engineering
Electrical Machines and Networks
Energy Policy
Engineering
Errors
Fuzzy control
Industrial applications
Maintenance costs
Optimization
Original Paper
Parameters
Permanent magnets
Power Electronics
Quality assessment
Robustness (mathematics)
Speed control
Synchronous motors
Tracking
Trial and error methods
Variable speed drives
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Summary:Permanent magnet synchronous motor (PMSM) drives are widely used in civil and industrial applications because of their high efficiency, high power density, and low maintenance costs. To improve the tracking efficiency of variable speed PMSM drive, intelligent control methods used in speed control PMSM, such as Fuzzy and/or Neutral-based controller. The Fuzzy PI controllers improve the PMSM speed tracking efficiency by changing the PI controller parameter according to the PMSM speed error. However, the performance of Fuzzy PI controllers depends on the fuzzy controller parameter (FCP), which is selected based on the trial-and-error method. The result is decreasing the PMSM speed control quality. This paper proposes a method to optimize the FCP by modified Jaya optimization algorithm (MJA). The quality evaluation criteria of PMSM speed control, such as Integral of Time Absolute Error (ITAE), Integral of Absolute Error (IAE), and Integral of Square Error (ISE), show that the proposed speed control method gives better results than the two other advanced control methods. The experiment case studies demonstrate that the PMSM speed control method using the proposed hybrid optimal fuzzy Jaya technique algorithm obtains practicality, robustness, and high accuracy.
ISSN:0948-7921
1432-0487
DOI:10.1007/s00202-023-01911-6