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Optimization of Excitation and Commutation Angles of Switched Reluctance Motor Using Micro-Genetic Algorithm

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Cognitive Informatics and Soft Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1317))

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Abstract

Optimal operating criteria of SRM involve maximizing the average output torque with minimum torque ripple through the excitation of different stator phases with appropriate excitation and commutation angles. This paper presents a micro-genetic algorithm (μGA)-based optimization for firing and commutation angle estimation for an SRM drive. A 1 + [n/2 Random] bit mutation is proposed in the μGA process to accomplish global maxima in the optimization. The mathematical model of SRM drive system has been developed to validate the optimization results. The credibility of the approach has been verified by implementing a mono-objective optimization to find the optimal excitation and commutation angles by maximizing the average output torque per phase. Results are compared with the existing approaches for the same operating conditions and are also verified for a couple of operating conditions using the MATLAB simulation and the results are presented.

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Author information

Authors and Affiliations

  1. Deparment of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Coimbatore, India

    Vinod Krishna Komaragiri

  2. Department of Electrical and Electronics Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Coimbatore, India

    A. Vijayakumari

Authors
  1. Vinod Krishna Komaragiri
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  2. A. Vijayakumari
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Corresponding author

Correspondence to A. Vijayakumari .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India

    Pradeep Kumar Mallick

  2. Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Majitar, India

    Akash Kumar Bhoi

  3. Polytechnic of Coimbra, ESTGOH, Rua General Santos Costa, Oliveira do Hospital, Portugal

    Gonçalo Marques

  4. Graduate Program on Teleinformatics Engineering, Federal University of Ceará, Fortaleza/CE, Brazil

    Victor Hugo C. de Albuquerque

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Komaragiri, V.K., Vijayakumari, A. (2021). Optimization of Excitation and Commutation Angles of Switched Reluctance Motor Using Micro-Genetic Algorithm. In: Mallick, P.K., Bhoi, A.K., Marques, G., Hugo C. de Albuquerque, V. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 1317. Springer, Singapore. https://doi.org/10.1007/978-981-16-1056-1_64

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