Document Type : Research Paper
Phd student of semnan university
faculty of semnan university
Despite a large number of advantages, Torque Ripple (TR) is the most important drawback of Switched Reluctance Motor (SRM). In the presented study, TR was reduced by optimizing the gate pulse angle of the SRM phase which played a leading role in the generated torque profile. For the Optimization, one of the strategies of Genetic Algorithm (GA) which was named Non-dominated Sorting Genetic Algorithm II (NSGA-II) was used in order to detect the best solution to achieve the highest level of torque with the least rate of TR in a three-phase 12 by 8 SRM. The proposed control algorithm was run in a simulation process and the statistical results of it were compared with the results of a custom GA and the traditional method of controlling SRMs. The comparison proved that by using the presented algorithm, not only the generated TR of the selected SRM was significantly reduced by roughly 210%, but also the generated torque profile of the machine was improved as well.