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Open AccessArticle

Model-Based Predictive Rotor Field-Oriented Angle Compensation for Induction Machine Drives

School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
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Author to whom correspondence should be addressed.
Academic Editor: Ryszard Palka
Energies 2021, 14(8), 2049; https://doi.org/10.3390/en14082049
Received: 14 March 2021 / Revised: 1 April 2021 / Accepted: 5 April 2021 / Published: 7 April 2021
(This article belongs to the Special Issue Performance of Induction Machines)
In this paper, a model-based predictive rotor field-oriented angle compensation approach is proposed for induction machine drives. Indirect rotor field-oriented control is widely used in induction machine drives for its simple implementation and low cost. However, the accuracy of the rotor field-oriented angle is affected by variable parameters such as the rotor resistance and inductance. An inaccurate rotor field-oriented angle leads to a degradation of the torque and dynamic performance, especially in the high-speed flux-weakening region. Therefore, the d-axis and q-axis currents in the rotation reference frame are predicted based on the model and compared with the feedback current to correct the rotor field-oriented angle. To improve the stability and robustness, the proposed predictive algorithm is based on the storage current, voltage, and velocity data. The algorithm can be easily realized in real-time. Finally, the simulated and experimental results verify the algorithm’s effectiveness on a 7.5 kW induction machine setup. View Full-Text
Keywords: rotor field-oriented angle error; indirect rotor field-oriented control; induction machine drives; model-based prediction rotor field-oriented angle error; indirect rotor field-oriented control; induction machine drives; model-based prediction
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MDPI and ACS Style

Liu, Y.; Zhao, J.; Yin, Q. Model-Based Predictive Rotor Field-Oriented Angle Compensation for Induction Machine Drives. Energies 2021, 14, 2049. https://doi.org/10.3390/en14082049

AMA Style

Liu Y, Zhao J, Yin Q. Model-Based Predictive Rotor Field-Oriented Angle Compensation for Induction Machine Drives. Energies. 2021; 14(8):2049. https://doi.org/10.3390/en14082049

Chicago/Turabian Style

Liu, Yang; Zhao, Jin; Yin, Quan. 2021. "Model-Based Predictive Rotor Field-Oriented Angle Compensation for Induction Machine Drives" Energies 14, no. 8: 2049. https://doi.org/10.3390/en14082049

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