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Optimization of Induction Motor Using Genetic Algorithm and GUI of Optimal Induction Motor Design in MATLAB

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Advances in Systems, Control and Automation

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 442))

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Abstract

In this paper, an optimal design of induction motor using genetic algorithm is discussed and the results obtained are compared with a conventionally designed induction motor. Graphical user interface (GUI)-based user simplified interface is prepared in MATLAB to achieve an optimal design of different power-rated three-phase squirrel cage induction motors. Full-load efficiency and active material cost are chosen as an objective function to be optimized, and based on that, the concept of dual optimization is explained. To achieve the best suitable design, different variables are chosen and different constraints are imposed on the design of induction motor.

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References

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Authors and Affiliations

  1. G. H. Patel College of Engineering, Anand, 388001, India

    Rakeshkumar Chaudhary & Rajesh Sanghavi

  2. Rotomotive Power Drives India Ltd., Anand, India

    Sanjay Mahagaokar

Authors
  1. Rakeshkumar Chaudhary
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  2. Rajesh Sanghavi
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  3. Sanjay Mahagaokar
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Corresponding author

Correspondence to Rakeshkumar Chaudhary .

Editor information

Editors and Affiliations

  1. Clinical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA

    Avinash Konkani

  2. Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology(SMIT), Rangpo, Sikkim, India

    Rabindranath Bera

  3. Department of Energy Engineering, North-Eastern Hill University, Shillong, Megalaya, India

    Samrat Paul

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© 2018 Springer Nature Singapore Pte Ltd.

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Chaudhary, R., Sanghavi, R., Mahagaokar, S. (2018). Optimization of Induction Motor Using Genetic Algorithm and GUI of Optimal Induction Motor Design in MATLAB. In: Konkani, A., Bera, R., Paul, S. (eds) Advances in Systems, Control and Automation. Lecture Notes in Electrical Engineering, vol 442. Springer, Singapore. https://doi.org/10.1007/978-981-10-4762-6_12

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  • DOI: https://doi.org/10.1007/978-981-10-4762-6_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4761-9

  • Online ISBN: 978-981-10-4762-6

  • eBook Packages: EngineeringEngineering (R0)

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