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Design and Hardware-in-the-Loop Implementation of Fuzzy-Based Proportional-Integral Control for the Traction Line-Side Converter of a High-Speed Train

Author

Listed:
  • Qixiang Yan

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Ibrahim Adamu Tasiu

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Hong Chen

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Yuting Zhang

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Siqi Wu

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Zhigang Liu

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

Power quality is one of many issues affecting the traction power supply system. Prominent among the causes of poor power quality is voltage low-frequency oscillation (VLFO). In this paper, a fuzzy-based PI (FPI) controller to optimize the performance of the traction line-side converter (TLSC) and suppress the effect of VLFO is proposed. Firstly, the mathematical model of China’s railway high-speed five single-phase TLSC is developed, and then the FPI control unit is designed based on specific requirements. The fuzzy antecedent and consequence rules were generated based on the expert and previous knowledge of TLSC operation. An offline simulation of the proposed control scheme under different loads and parameters is conducted to verify the designed. To validate the model, the traction power supply system (TPS) is built on the field-programmable gate array (FPGA) real-time digital simulator (FPGA-RTDS), while the FPI control algorithm is load on modeling tech rapid control prototyping (RCP) real-time digital controller (RTDC). Hardware-in-the-loop (HIL), and offline simulation studies between current decoupling (PI) control, sliding mode control (SMC), and the proposed control method confirms in addition to excellent dynamic performance; the proposed method can successfully suppress the effect of VLFO.

Suggested Citation

  • Qixiang Yan & Ibrahim Adamu Tasiu & Hong Chen & Yuting Zhang & Siqi Wu & Zhigang Liu, 2019. "Design and Hardware-in-the-Loop Implementation of Fuzzy-Based Proportional-Integral Control for the Traction Line-Side Converter of a High-Speed Train," Energies, MDPI, vol. 12(21), pages 1-24, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4094-:d:280632
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    References listed on IDEAS

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    1. Shivashankar Sukumar & Marayati Marsadek & Agileswari Ramasamy & Hazlie Mokhlis & Saad Mekhilef, 2017. "A Fuzzy-Based PI Controller for Power Management of a Grid-Connected PV-SOFC Hybrid System," Energies, MDPI, vol. 10(11), pages 1-17, October.
    2. Fengqi Zhang & Haiou Liu & Yuhui Hu & Junqiang Xi, 2016. "A Supervisory Control Algorithm of Hybrid Electric Vehicle Based on Adaptive Equivalent Consumption Minimization Strategy with Fuzzy PI," Energies, MDPI, vol. 9(11), pages 1-26, November.
    3. Yancai Xiao & Tieling Zhang & Zeyu Ding & Chunya Li, 2016. "The Study of Fuzzy Proportional Integral Controllers Based on Improved Particle Swarm Optimization for Permanent Magnet Direct Drive Wind Turbine Converters," Energies, MDPI, vol. 9(5), pages 1-17, May.
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    Cited by:

    1. Panos C. Papageorgiou & Konstantinos F. Krommydas & Antonio T. Alexandridis, 2020. "Validation of Novel PLL-driven PI Control Schemes on Supporting VSIs in Weak AC-Connections," Energies, MDPI, vol. 13(6), pages 1-21, March.
    2. Leonel Estrada & Nimrod Vázquez & Joaquín Vaquero & Ángel de Castro & Jaime Arau, 2020. "Real-Time Hardware in the Loop Simulation Methodology for Power Converters Using LabVIEW FPGA," Energies, MDPI, vol. 13(2), pages 1-19, January.

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