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Performance Improvement of Matrix Converter Direct Torque Control System

Author

Listed:
  • Bowei Zou

    (College of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China)

  • Yougui Guo

    (College of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China)

  • Xi Xiao

    (Department of Electrical Engineering, Tsinghua University, Beijing 100083, China)

  • Bowen Yang

    (College of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China)

  • Xiao Wang

    (College of Electrical Engineering, Naval Engineering University, Wuhan 430033, China)

  • Mingzhang Shi

    (College of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China)

  • Yulin Tu

    (College of Public Administration, Xiangtan University, Xiangtan 411105, China)

Abstract

In asynchronous motor direct torque control systems, the power supply using the matrix converter can achieve the effect of direct torque control and also has the advantages of the matrix converter. Nonetheless, direct torque control still has drawbacks in terms of pulsation. In this paper, the characteristics of direct torque control method and its existing problems are analyzed in depth. In view of the shortcomings of torque ripple, an improved scheme of torque tracking control is proposed based on conventional control methods. On the basis of theoretical simulation, DSP and FPGA algorithms are designed respectively in C language and VHDL to implement the proposed control strategy. Finally, a highly integrated experimental platform of matrix converter has been developed to verify the proposed control strategy. The simulation and experimental results verify the correctness and effectiveness of the improved scheme.

Suggested Citation

  • Bowei Zou & Yougui Guo & Xi Xiao & Bowen Yang & Xiao Wang & Mingzhang Shi & Yulin Tu, 2020. "Performance Improvement of Matrix Converter Direct Torque Control System," Energies, MDPI, vol. 13(12), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3247-:d:375185
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    References listed on IDEAS

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    3. Gustavo Gontijo & Matheus Soares & Thiago Tricarico & Robson Dias & Mauricio Aredes & Josep Guerrero, 2019. "Direct Matrix Converter Topologies with Model Predictive Current Control Applied as Power Interfaces in AC, DC, and Hybrid Microgrids in Islanded and Grid-Connected Modes," Energies, MDPI, vol. 12(17), pages 1-28, August.
    4. Pavel Karlovsky & Jiri Lettl, 2018. "Induction Motor Drive Direct Torque Control and Predictive Torque Control Comparison Based on Switching Pattern Analysis," Energies, MDPI, vol. 11(7), pages 1-14, July.
    5. Yeongsu Bak & Eunsil Lee & Kyo-Beum Lee, 2015. "Indirect Matrix Converter for Hybrid Electric Vehicle Application with Three-Phase and Single-Phase Outputs," Energies, MDPI, vol. 8(5), pages 1-18, April.
    6. Joon B. Park & Xin Wang, 2018. "Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering," Energies, MDPI, vol. 11(4), pages 1-19, 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. Alessandro Benevieri & Gianmarco Maragliano & Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2021. "Induction Motor Direct Torque Control with Synchronous PWM," Energies, MDPI, vol. 14(16), pages 1-17, August.
    2. Usha Sengamalai & T. M. Thamizh Thentral & Palanisamy Ramasamy & Mohit Bajaj & Syed Sabir Hussain Bukhari & Ehab E. Elattar & Ahmed Althobaiti & Salah Kamel, 2022. "Mitigation of Circulating Bearing Current in Induction Motor Drive Using Modified ANN Based MRAS for Traction Application," Mathematics, MDPI, vol. 10(8), pages 1-24, April.

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