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The World Congress on Engineering and Computer Science

WCECS 2015: Transactions on Engineering Technologies pp 319–332Cite as

Sensorless Speed Estimation by Using Rotor Slot Harmonics for Squirrel Cage Induction Motor

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Abstract

Speed sensors have been used to obtain the motor speed. The sensors generally generate square-wave output signal. The signals are analyzed by some techniques as long measurement, pulse counting or spectral analysis. In addition to these, sensorless speed estimation methods has been focused on to estimation of the motor speed in the recent years. The method is based on motor current signal analysis . Frequency spectrum of the current has components representing rotor slot harmonics. If the number of rotor slots is known, motor speed is estimated by using these frequency components. In the literature, individual algorithms have been used to calculate the speed from the rotor slot harmonics. Unlike the literature, this paper presents a method with genetic algorithm to extract the motor speed from rotor slot harmonics components.

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Acknowledgements

The study has been supported by Scientific Research Project of Selcuk University.

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Authors and Affiliations

  1. Technology Faculty, Department of Electrical and Electronics Engineering, Selcuk University, 42075, Konya, Turkey

    Hayri Arabaci

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  1. Hayri Arabaci
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Correspondence to Hayri Arabaci .

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Editors and Affiliations

  1. IAENG Secretariat, International Association of Engineers, Hong Kong, Hong Kong

    Sio-Iong Ao

  2. Department of Computer and Communication, Engineering College, Catholic University of Daegu, Daegu, Korea (Republic of)

    Haeng Kon Kim

  3. Provost and Senior Vice-President, University of New Orleans, New Orleans, Louisiana, USA

    Mahyar A. Amouzegar

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Arabaci, H. (2017). Sensorless Speed Estimation by Using Rotor Slot Harmonics for Squirrel Cage Induction Motor. In: Ao, SI., Kim, H., Amouzegar, M. (eds) Transactions on Engineering Technologies. WCECS 2015. Springer, Singapore. https://doi.org/10.1007/978-981-10-2717-8_23

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  • DOI: https://doi.org/10.1007/978-981-10-2717-8_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2716-1

  • Online ISBN: 978-981-10-2717-8

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