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  5. Particle-Swarm-Optimization based PI and FOPI controller design for transient and steady-state performance analysis of vector controlled PMSM drive
 
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Particle-Swarm-Optimization based PI and FOPI controller design for transient and steady-state performance analysis of vector controlled PMSM drive

Source
Smart Grids and Sustainable Energy
ISSN
2731-8087
Date Issued
2026-04-01
Author(s)
Mahto, Rajesh Kumar
Mishra, Ambarisha
Bharadwaj, Pallavi  
Bansal, Ramesh C.
DOI
10.1007/s40866-026-00341-0
Volume
11
Issue
1
Abstract
This work presents an enhanced vector control approach that significantly improved speed and torque ripple, total harmonics distortion of current and other control performance. The presents work is suitable for high performance drives applications. In the present work speed, torque, and flux are precisely controlled with the use of the vector control concept. Three proportional integral (PI) or fractional order PI (FOPI) controllers are used for vector control; these are the speed, torque, and flux controllers. The PI and FOPI controller parameters are optimised offline using the particle swarm optimisation (PSO) technique. The PSO techniques is implemented using the total absolute error of speed, torque, and flux as the objective function. In the present vector control the current proportionate to the load. For any load change, the PSO-tuned speed, torque & flux controller parameter of PI and FOPI, which offers superior dynamic performance. In The present tuning process, the controller gain parameters are unaffected by machine dynamics. The output performance is Verified for variable load torque and speed to verify the impact of the current work. The performance improvement of the drive system of the present methods are implemented without raising the total cost and complexity of the drive system by measuring the transient and steady-state parameters in terms of torque ripple, stator current THD, rise time, settling time, and peak time.
URI
https://repository.iitgn.ac.in/handle/IITG2025/35116
Subjects
Direct tuning technique
Fractional order controller
Optimization technique
Vector control
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