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Simulation Research on Deadbeat Direct Torque and Flux Control of Permanent Magnet Synchronous Motor

Author

Listed:
  • Jie Chen

    (School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Jiajun Wang

    (School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Bo Yan

    (School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China)

Abstract

Direct torque control (DTC) is widely used in a permanent-magnet synchronous motor (PMSM), but it has its own shortcomings caused by high torque ripple. Deadbeat-direct torque and flux control (DB-DTFC) is a new torque and flux method compared with DTC. However, the traditional DB-DTFC is often based on rotor-flux-oriented control. The reference voltage of the stator is computed in a rotor-flux-oriented coordinate system, and the solution involves solving quadratic equations, which will increase the burden of computational processing. To improve the computation of the reference voltages and the control performance, this paper proposes a new DB-DTFC algorithm and introduces its basic principles. First, the proposed DB-DTFC algorithm uses the forward Euler equation to solve the reference voltage in a stator-flux-oriented coordinate system. Second, the discrete mathematical model is used to predict the next control current to achieve deadbeat control. Third, the structural model of the proposed DB-DTFC is constructed. Finally, the simulation model of the proposed DB-DTFC algorithm is built with a MATLAB/Simulink platform. The simulation results prove that the proposed DB-DTFC algorithm can achieve better control performance in torque and flux control compared with the DTC algorithm and SVM-based direct torque and flux control (SVM-DTFC) algorithm. In particular, the torque index of DB-DTFC is reduced about 6% in a limited speed range in comparison with the DTC algorithm.

Suggested Citation

  • Jie Chen & Jiajun Wang & Bo Yan, 2022. "Simulation Research on Deadbeat Direct Torque and Flux Control of Permanent Magnet Synchronous Motor," Energies, MDPI, vol. 15(9), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3009-:d:797916
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    References listed on IDEAS

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    1. Kai Zhou & Min Ai & Dongyang Sun & Ningzhi Jin & Xiaogang Wu, 2019. "Field Weakening Operation Control Strategies of PMSM Based on Feedback Linearization," Energies, MDPI, vol. 12(23), pages 1-18, November.
    2. GuangQing Bao & WuGang Qi & Ting He, 2020. "Direct Torque Control of PMSM with Modified Finite Set Model Predictive Control," Energies, MDPI, vol. 13(1), pages 1-16, January.
    3. Dazhi Wang & Tianqing Yuan & Xingyu Wang & Xinghua Wang & Wenhui Li, 2018. "A Composite Vectors Modulation Strategy for PMSM DTC Systems," Energies, MDPI, vol. 11(10), pages 1-15, October.
    4. Weiran Wang & Fei Tan & Jiaxin Wu & Huilin Ge & Haifeng Wei & Yi Zhang, 2019. "Adaptive Integral Backstepping Controller for PMSM with AWPSO Parameters Optimization," Energies, MDPI, vol. 12(13), pages 1-24, July.
    5. Łukasz J. Niewiara & Rafał Szczepański & Tomasz Tarczewski & Lech M. Grzesiak, 2022. "State Feedback Speed Control with Periodic Disturbances Attenuation for PMSM Drive," Energies, MDPI, vol. 15(2), pages 1-18, January.
    6. Caixia Gao & Yanjie Nie & Jikai Si & Ziyi Fu & Haichao Feng, 2019. "Mode Recognition and Fault Positioning of Permanent Magnet Demagnetization for PMSM," Energies, MDPI, vol. 12(9), pages 1-14, April.
    7. Jae Suk Lee, 2018. "Stability Analysis of Deadbeat-Direct Torque and Flux Control for Permanent Magnet Synchronous Motor Drives with Respect to Parameter Variations," Energies, MDPI, vol. 11(8), pages 1-18, August.
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    Cited by:

    1. Haneen Ghanayem & Mohammad Alathamneh & R. M. Nelms, 2023. "Decoupled Speed and Flux Control of Three-Phase PMSM Based on the Proportional-Resonant Control Method," Energies, MDPI, vol. 16(3), pages 1-16, January.

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