Genetic Algorithm-Based Commutation Angle Control for Torque Ripple Mitigation in Switched Reluctance Motor Drives

Genetic Algorithm-Based Commutation Angle Control for Torque Ripple Mitigation in Switched Reluctance Motor Drives

This work addresses the application of the Genetic Algorithm (GA) technique to optimize the commutation angles of a 2 kW 8/6 switched reluctance machine (SRM). The primary goal is to reduce the well-known drawback of SRMs: the torque ripple. Firstly, the machine was modeled in Matlab /Simulink &...

Full description

Bibliographic Details
Main Authors: Renata Rezende C. Reis, Marcio L. Magri Kimpara, Luigi Galotto, Joao Onofre Pereira Pinto
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Switched reluctance motor
genetic algorithm
optimization
torque ripple
Online Access:https://ieeexplore.ieee.org/document/10244189/

Internet

https://ieeexplore.ieee.org/document/10244189/

Similar Items