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Speed Controller Optimization for PMSM Drive Using PSO Algorithm

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Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 436))

Abstract

This paper presents the use of particle swarm optimization (PSO) algorithm modified for the search of optimized gain values of speed controller for a permanent magnet synchronous motor (PMSM) drive. The PSO is modified to generate particles in complete search space and have a multiobjective problem involving speed as well as torque error as independent variables of fitness function so as to minimize these errors. The proposed algorithm is modeled and simulated in MATLAB/Simulink environment. The obtained results are presented to demonstrate the effectiveness of the modified PSO algorithm for the desired speed control of the PMSM drive.

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Author information

Authors and Affiliations

  1. Electrical and Instrumentation Engineering Department, Sant Longowal Institute of Engineering and Technology, Longowal, 148106, Punjab, India

    Paramjeet Singh Jamwal & Sanjeev Singh

Authors
  1. Paramjeet Singh Jamwal
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  2. Sanjeev Singh
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Corresponding author

Correspondence to Paramjeet Singh Jamwal .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Chankyapuri, Rm 327, South Asian Univ, Akbar Bhawan, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

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© 2016 Springer Science+Business Media Singapore

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Jamwal, P.S., Singh, S. (2016). Speed Controller Optimization for PMSM Drive Using PSO Algorithm. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-0448-3_83

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  • DOI: https://doi.org/10.1007/978-981-10-0448-3_83

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0447-6

  • Online ISBN: 978-981-10-0448-3

  • eBook Packages: EngineeringEngineering (R0)

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