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Induction Motors Speed Estimation by Rotor Slot Harmonics Frequency Using Zoom Improved Chirp-Z Transform Algorithm

Author

Listed:
  • Mahamadou Negue Diarra

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

  • Xuyang Zhao

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

  • Xuandong Wu

    (Wolong Electric Nanyang Explosion Group Co., Ltd., Nanyang 473000, China)

  • Isaac Adjei Nketsiah

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

  • Yonggang Li

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

  • Haisen Zhao

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

Abstract

This paper analyzes the digital signal processing techniques and estimates induction motor (IM) rotational speed operating in stationary or non-stationary conditions. Rotor slot harmonics present in the stator current waveform are used to estimate the induction motor speed with a given or identified rotor slot numbers. This paper’s contribution is the following: First, zoom improved short-time Chirp-Z transform is used to find supply frequency and the rotor slot harmonic frequency to improve the estimation accuracy without increasing computing complexity. Second, a technique is described that can be used to determine whether or not a motor can generate principal slot harmonics (PSH). Finally, an algorithm is designed to figure out the perfect window length and estimate the motors’ speed. This proposed technique was investigated when the motor was fed by an inverter-fed supply driving a variable load and operating in non-stationary conditions. Experimental test results on 5.5 kW and 22 kW induction motors have confirmed the correctness of this method.

Suggested Citation

  • Mahamadou Negue Diarra & Xuyang Zhao & Xuandong Wu & Isaac Adjei Nketsiah & Yonggang Li & Haisen Zhao, 2022. "Induction Motors Speed Estimation by Rotor Slot Harmonics Frequency Using Zoom Improved Chirp-Z Transform Algorithm," Energies, MDPI, vol. 15(21), pages 1-15, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:7877-:d:951567
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    References listed on IDEAS

    as
    1. Mahamadou Negue Diarra & Yifan Yao & Zhaoxuan Li & Mouhamed Niasse & Yonggang Li & Haisen Zhao, 2022. "In-Situ Efficiency Estimation of Induction Motors Based on Quantum Particle Swarm Optimization-Trust Region Algorithm (QPSO-TRA)," Energies, MDPI, vol. 15(13), pages 1-15, July.
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