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The Speed Estimation via BiLSTM-Based Network of a BLDC Motor Drive for Fan Applications

  • Research Article-Electrical Engineering
  • Published:
Arabian Journal for Science and Engineering Aims and scope Submit manuscript

Abstract

In this study, in order to determine the dynamic response of a four-pole permanent magnet three-phase brushless DC (BLDC) motor, parametric simulation studies are carried out with finite element analysis Rmxprt software depending on three specific input variables (excitation voltage, pulse width, and motor power). The rotor speed is defined as the output parameter to determine the dynamic response, and 600 parametric data are obtained according to the simulation studies. In order to estimate the rotor speed of the BLDC motor modeled using artificial intelligence (AI), an advanced recurrent neural network architecture known as bidirectional long short-term memory has been designed. Rotor speed is successfully estimated with the proposed architecture, and as a result, the mean absolute percentage error value is calculated as 3.25%. These results show that the analysis of BLDC motor parameters can be determined quickly with the proposed AI method without long-running simulations.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Necmettin Erbakan University, 42090, Konya, Turkey

    Muhammed Fahri Unlersen

  2. Department of Electrical and Electronics Engineering, Faculty of Engineering, Karamanoglu Mehmetbey University, 70200, Karaman, Turkey

    Selami Balci, Muhammet Fatih Aslan & Kadir Sabanci

Authors
  1. Muhammed Fahri Unlersen
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  2. Selami Balci
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  3. Muhammet Fatih Aslan
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  4. Kadir Sabanci
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Corresponding author

Correspondence to Kadir Sabanci.

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Unlersen, M.F., Balci, S., Aslan, M.F. et al. The Speed Estimation via BiLSTM-Based Network of a BLDC Motor Drive for Fan Applications. Arab J Sci Eng 47, 2639–2648 (2022). https://doi.org/10.1007/s13369-021-05700-w

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  • DOI: https://doi.org/10.1007/s13369-021-05700-w

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