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Utilizing neural networks for dynamic performance improvement of induction motor drive: a fresh approach with the novel IP-self-tuning controller

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Abstract

This paper introduces a neural network adjustment method for a single gain of an integral proportional (IP) speed regulator, to improve the speed control of an induction motor. Thanks to its simplicity and strength, the integral proportional (IP) controller is widely used in the industry for speed control. Yet, in some cases, when the load or mechanical parameters change according to its working conditions, the integral proportional (IP) efficiency decreases, and the setup quality degrades. In this case, a neural IP-self-tuning seems to overcome these difficulties and ensure a good control performance. The results obtained through the implementation of the proposed control on a dSPACE system and an induction motor clearly demonstrate the effectiveness of this method.

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Data availability

The datasets used in this study are available upon request. Interested researchers can contact me at [abdellah.elkharki@gmail.com] to obtain access to the data and materials used.

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Funding

No institution, agency, or organization provided financial support for this research.

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Authors and Affiliations

  1. System Engineering and Applications Laboratory, CADI AYYAD University, Marrakesh, Morocco

    Abdellah El kharki, Zakaria Boulghasoul, Lamyae Et-taaj & Abdelhadi Elbacha

Authors
  1. Abdellah El kharki
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  2. Zakaria Boulghasoul
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  3. Lamyae Et-taaj
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  4. Abdelhadi Elbacha
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Contributions

AEK designed and developed the proposed method. Conducted numerical simulations and performance analysis. Also, wrote the majority of the manuscript. ZB supervised the execution of experiments on a test bench to validate the performance of the proposed controller. Analyzed the experimental results and contributed to the writing of the “Experimentation” section of the article. LET participated in result interpretation and manuscript revision. AE supervised the entire research project. Provided guidance and expertise throughout the research process and reviewed and approved the final manuscript.

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Correspondence to Abdellah El kharki.

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El kharki, A., Boulghasoul, Z., Et-taaj, L. et al. Utilizing neural networks for dynamic performance improvement of induction motor drive: a fresh approach with the novel IP-self-tuning controller. Electr Eng 106, 553–565 (2024). https://doi.org/10.1007/s00202-023-02011-1

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