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Optimization of PI Coefficients of PMSM Drive Using Particle Swarm Optimization

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New Paradigm in Decision Science and Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1005))

Abstract

Permanent magnet synchronous motor has wide application in industries due to its various advantages. In this research work, the performance of the PMSM drive is boosted up with the help of particle swarm optimization technique by optimizing the coefficients of the PI controller. The same is achieved in the MATLAB environment using the optimization toolbox. ITAE criterion is implemented to control the speed of PMSM. The output torque, current and speed responses are compared with random and optimized PI coefficients.

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Authors and Affiliations

  1. School of Electrical Engineering, KIIT University, Bhubaneswar, India

    Sangeeta Sahu & Byamakesh Nayak

Authors
  1. Sangeeta Sahu
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  2. Byamakesh Nayak
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Corresponding author

Correspondence to Sangeeta Sahu .

Editor information

Editors and Affiliations

  1. Siksha ‘O’ Anusandhan University, Bhubaneswar, India

    Srikanta Patnaik

  2. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong

    Andrew W. H. Ip

  3. Department of Business Systems and Analytics, La Salle University, Philadelphia, PA, USA

    Madjid Tavana

  4. Victoria Business School, School of Management, Victoria University of Wellington, Wellington, New Zealand

    Vipul Jain

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Sahu, S., Nayak, B. (2020). Optimization of PI Coefficients of PMSM Drive Using Particle Swarm Optimization. In: Patnaik, S., Ip, A., Tavana, M., Jain, V. (eds) New Paradigm in Decision Science and Management. Advances in Intelligent Systems and Computing, vol 1005. Springer, Singapore. https://doi.org/10.1007/978-981-13-9330-3_33

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