Open Access
ARTICLE
THD Reduction for Permanent Magnet Synchronous Motor Using Simulated Annealing
1 Department of Electrical & Electronics Engineering, Kalaivanar N S K College of Engineering, Nagercoil, 629001, India
2 Department of Electrical & Electronics Engineering, Vignana Bharathi Institute of Technology, Hyderabad, 501301, India
3 Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr.Sagunthala R & D Institute of Science and Technology, Chennai, 600062, India
4 Department of Information Technology, St. Xavier’s Catholic College of Engineering, Nagercoil, 629003, India
* Corresponding Author: N. Herald Anantha Rufus. Email:
Intelligent Automation & Soft Computing 2023, 35(2), 2325-2336. https://doi.org/10.32604/iasc.2023.028930
Received 22 February 2022; Accepted 19 April 2022; Issue published 19 July 2022
Abstract
Any nonlinear behavior of the system is analyzed by a useful way of Total Harmonic Distortion (THD) technique. Reduced THD achieves lower peak current, higher efficiency and longer equipment life span. Simulated annealing (SA) is applied due to the effectiveness of locating solutions that are close to ideal and to challenge large-scale combinatorial optimization for Permanent Magnet Synchronous Machine (PMSM). The parameters of direct torque controllers (DTC) for the drive are automatically adjusted by the optimization algorithm. Advantages of the PI-Fuzzy-SA algorithm are retained when used together. It also improves the rate of system convergence. Speed response improvement and harmonic reduction is achieved with SA-based DTC for PMSM. This mechanism is known to be faster than other algorithms. Also, it is observed that as compared to other algorithms, the projected algorithm yields a reduced total harmonic distortion. As a result of the employment of Space Vector Modulation (SVM) technique, the system is resistant to changes in motor specifications and load torque. Through MATLAB & Simulink simulation, the experiment is done and the performance is calculated for the controller.Keywords
Cite This Article
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.