Permanent magnet synchronous motor drives, or PMSM drives for short, use integrated nature‐dependent metaheuristic algorithms in this chapter to perform reduced order modeling and controller design in a unified domain. The firefly algorithm (FA) and the grey wolf optimizer (GWO) are two of the most important algorithms in computer science. Together, they form a new hybrid architecture called the hybrid grey wolf optimizer (HGWO). First, a lower‐order model of a permanent magnet synchronous motor drive, comprising of speed and current controllers, was obtained through a reduction using a signal‐processing‐based identification technique. The anonymous proportional‐integral (PI) controller gains can be roughly estimated by matching the reduced system developed in cascade with the controller to a desired system. The gains of the delta operator are nearly replicated by the gains of the continuous‐time controller. This allows for the development of a unified controller for the drive. Thus, the proposed algorithm is useful not only for order diminution but also for determining the control parameters of PMSM drives. In addition, many commonplace and industrial uses of ac motor drives of this type can benefit in future research from this unified approach study.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Hybrid Grey Wolf Optimizer for Modeling and Control of Electric Drives


    Beteiligte:
    Roy, Tamal (Herausgeber:in) / Tripathi, Suman Lata (Herausgeber:in) / Ganguli, Souvik (Herausgeber:in) / Ganguli, Souvik (Autor:in) / Sarkar, Prasanta (Autor:in)


    Erscheinungsdatum :

    08.10.2024


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Grey wolf optimizer: Overview, modifications and applications

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

    Freier Zugriff

    AGC of Hybrid Power System with Grey Wolf optimizer Based Conventional Secondary Controllers

    Rahman, Asadur / Saikia, Lalit Chandra / Sharma, Yatin | IEEE | 2021


    Path-relinking Grey Wolf Optimizer for Solving Operation Sequencing Problem

    Wang, Shuai / Dou, Jianping / Zhang, Canran | British Library Conference Proceedings | 2022


    DESIGN OF DIGITAL FIR FILTER USING GREY WOLF OPTIMIZER ALGORITHM

    Sidhu, Navdeep Kaur / Dhillon, J.S. | BASE | 2017

    Freier Zugriff

    Adaptive Q-Learning Grey Wolf Optimizer for UAV Path Planning

    Golam Moktader Nayeem / Mingyu Fan / Golam Moktader Daiyan | DOAJ | 2025

    Freier Zugriff