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Online Speed Estimation Using Artificial Neural Network for Speed Sensorless Direct Torque Control of Induction Motor based on Constant V/F Control Technique

Author

Listed:
  • Narongrit Pimkumwong

    (Department of Electrical Engineering, Southern Taiwan University of Science and Technology, No.1, Nan-Tai Street, Yung Kang District, Tainan City 71005, Taiwan)

  • Ming-Shyan Wang

    (Department of Electrical Engineering, Southern Taiwan University of Science and Technology, No.1, Nan-Tai Street, Yung Kang District, Tainan City 71005, Taiwan)

Abstract

This paper presents the speed estimator for speed sensorless direct torque control of a three-phase induction motor based on constant voltage per frequency (V/F) control technique, using artificial neural network (ANN). The estimated stator current equation is derived and rearranged consistent with the control algorithm and ANN structure. For the speed estimation, a weight in ANN, which relates to the speed, is adjusted by using Widrow–Hoff learning rule to minimize the sum of squared errors between the measured stator current and the estimated stator current from ANN output. The consequence of using this method leads to the ability of online speed estimation and simple ANN structure. The simulation and experimental results in high- and low-speed regions have confirmed the validity of the proposed speed estimation method.

Suggested Citation

  • Narongrit Pimkumwong & Ming-Shyan Wang, 2018. "Online Speed Estimation Using Artificial Neural Network for Speed Sensorless Direct Torque Control of Induction Motor based on Constant V/F Control Technique," Energies, MDPI, vol. 11(8), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2176-:d:164725
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    Citations

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    Cited by:

    1. Branislav Dobrucky & Slavomir Kascak & Michal Frivaldsky & Michal Prazenica, 2021. "Determination and Compensation of Non-Active Torques for Parallel HEV Using PMSM/IM Motor(s)," Energies, MDPI, vol. 14(10), pages 1-26, May.
    2. Hani Albalawi & Sherif A. Zaid & Mohmed E. El-Shimy & Ahmed M. Kassem, 2023. "Ant Colony Optimized Controller for Fast Direct Torque Control of Induction Motor," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    3. Marcin Kaminski, 2020. "Nature-Inspired Algorithm Implemented for Stable Radial Basis Function Neural Controller of Electric Drive with Induction Motor," Energies, MDPI, vol. 13(24), pages 1-25, December.
    4. Rongsheng Liu & Minfang Peng & Xianghui Xiao, 2018. "Ultra-Short-Term Wind Power Prediction Based on Multivariate Phase Space Reconstruction and Multivariate Linear Regression," Energies, MDPI, vol. 11(10), pages 1-17, October.
    5. Marcin Kamiński & Krzysztof Szabat, 2021. "Adaptive Control Structure with Neural Data Processing Applied for Electrical Drive with Elastic Shaft," Energies, MDPI, vol. 14(12), pages 1-26, June.

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