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Parameter Estimation and Soft Computing Techniques

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Proceedings of the Third International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 258))

Abstract

The paper presents an overview of parameter estimation of three phase induction motor using different techniques. The techniques mainly described in the paper are conventional techniques and soft computing techniques. The soft computing techniques considered in the paper are fuzzy system, artificial neural network (ANN), Neuro-Fuzzy, genetic algorithms (GA) and particle swarm optimization (PSO).

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Authors and Affiliations

  1. Department of Electrical Engineering, D.E.I., Dayalbagh, Agra, India

    D. K. Chaturvedi & Mayank Pratap Singh

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  1. D. K. Chaturvedi
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  2. Mayank Pratap Singh
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Correspondence to D. K. Chaturvedi .

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Editors and Affiliations

  1. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  3. Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  4. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

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Chaturvedi, D.K., Singh, M.P. (2014). Parameter Estimation and Soft Computing Techniques. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 258. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1771-8_24

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  • DOI: https://doi.org/10.1007/978-81-322-1771-8_24

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