The performance of Switched Reluctance Motor (SRM) drives is highly connected to the driving angles. In this paper, an algorithm $\text{is}$ proposed to ensure optimal SRM performance. A multi-objective grey wolf optimization is implemented to determine the Pareto frontier that includes a trade-off between efficiency and torque ripple. Sensitivity analyses are performed after the completion of the optimization step to understand the influence of driving angles on the performance of the SRM. The results show that the proposed optimization algorithm is efficient in locating the optimal control parameters in the entire operating speed range, returning an R2 of 98% in comparison to the benchmark.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multiobjective Grey Wolf Optimization of Firing Angles for SRM Drives




    Publication date :

    2023-06-21


    Size :

    3373619 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Hybrid Grey Wolf Optimizer for Modeling and Control of Electric Drives

    Ganguli, Souvik / Sarkar, Prasanta | Wiley | 2024


    Surrogate-Based Optimization of Firing Angles for Switched Reluctance Motor

    Anvari, Bahareh / Kaya, Mine / Englebretson, Steven et al. | IEEE | 2018



    Optimization of commutation angles in SRM drives using FRM

    Lin, Chenjie / Fahimi, Babak | IEEE | 2012


    Grey wolf optimizer: Overview, modifications and applications

    Saman M. Almufti / Hawar B. Ahmad / Ridwan B. Marqas et al. | BASE | 2021

    Free access