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Design of Constraints for Seeking Maximum Torque per Ampere Techniques in an Interior Permanent Magnet Synchronous Motor Control

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  • Anton Dianov

    (This Is Engineering Inc., Seongnam 13449, Korea)

  • Alecksey Anuchin

    (Electric Drives Department, Moscow Power Engineering Institute, 111250 Moscow, Russia)

Abstract

The efficient control of permanent magnet synchronous motors (PMSM) requires the development of a technique for loss optimization. The best approach is the implementation of power loss minimization algorithms, which are hard to model and design. Therefore, the developers typically involve maximum torque per ampere (MTPA) control, which optimizes Joule loss only. The conventional MTPA control requires knowledge of motor parameters and can only properly operate when these parameters are constant. However, motor parameters vary depending on operating conditions; thus, conventional techniques cannot be used. Furthermore, many industrial drives are designed for self-commissioning, and they do not have prior information on motor parameters. In order to solve this problem, various MTPA-seeking techniques, which track the minimum of motor current, have been developed. The dynamic performance between these seeking algorithms and maximum deviation from the true MTPA trajectory are defined by the constraints in most cases, in which proper design improves the dynamic behavior of MTPA-seeking algorithms. This paper considers a PMSM, which was designed to operate in the saturation area and whose MTPA trajectory significantly deviates from the same curve constructed for the initial unsaturated parameters. This paper considers existing approaches, explains their pros and cons, and demonstrates that these methods do not utilize full potential of the motor. A new constraint design was proposed and explained step by step. The experiment verifies the proposed technique and demonstrates improvements in efficiency and dynamic behavior of the seeking algorithm.

Suggested Citation

  • Anton Dianov & Alecksey Anuchin, 2021. "Design of Constraints for Seeking Maximum Torque per Ampere Techniques in an Interior Permanent Magnet Synchronous Motor Control," Mathematics, MDPI, vol. 9(21), pages 1-21, November.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:21:p:2785-:d:671207
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    References listed on IDEAS

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    1. Mengting Ye & Tingna Shi & Huimin Wang & Xinmin Li & Changliang Xia, 2019. "Sensorless-MTPA Control of Permanent Magnet Synchronous Motor Based on an Adaptive Sliding Mode Observer," Energies, MDPI, vol. 12(19), pages 1-15, October.
    2. Jianxia Sun & Cheng Lin & Jilei Xing & Xiongwei Jiang, 2019. "Online MTPA Trajectory Tracking of IPMSM Based on a Novel Torque Control Strategy," Energies, MDPI, vol. 12(17), pages 1-10, August.
    3. Simon Decker & Matthias Brodatzki & Benjamin Bachowsky & Benedikt Schmitz-Rode & Andreas Liske & Michael Braun & Marc Hiller, 2020. "Predictive Trajectory Control with Online MTPA Calculation and Minimization of the Inner Torque Ripple for Permanent-Magnet Synchronous Machines," Energies, MDPI, vol. 13(20), pages 1-23, October.
    4. Anton Dianov & Alecksey Anuchin, 2020. "Adaptive Maximum Torque per Ampere Control of Sensorless Permanent Magnet Motor Drives," Energies, MDPI, vol. 13(19), pages 1-13, September.
    5. Kyoung Jin Joo & Joon Sung Park & Ju Lee, 2018. "Study on Reduced Cost of Non-Salient Machine System Using MTPA Angle Pre-Compensation Method Based on EEMF Sensorless Control," Energies, MDPI, vol. 11(6), pages 1-14, June.
    6. Seung-Koo Baek & Hyuck-Keun Oh & Joon-Hyuk Park & Yu-Jeong Shin & Seog-Won Kim, 2019. "Evaluation of Efficient Operation for Electromechanical Brake Using Maximum Torque per Ampere Control," Energies, MDPI, vol. 12(10), pages 1-13, May.
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    Cited by:

    1. Mitja Garmut & Simon Steentjes & Martin Petrun, 2024. "Optimization of an IPMSM for Constant-Angle Square-Wave Control of a BLDC Drive," Mathematics, MDPI, vol. 12(10), pages 1-25, May.
    2. Yongjie Yang & Xudong Liu, 2022. "A Novel Nonsingular Terminal Sliding Mode Observer-Based Sensorless Control for Electrical Drive System," Mathematics, MDPI, vol. 10(17), pages 1-16, August.
    3. Vadim Kazakbaev & Aleksey Paramonov & Vladimir Dmitrievskii & Vladimir Prakht & Victor Goman, 2022. "Indirect Efficiency Measurement Method for Line-Start Permanent Magnet Synchronous Motors," Mathematics, MDPI, vol. 10(7), pages 1-14, March.

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