IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i21p4094-d280632.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/21/4094/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/21/4094/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. He-Yau Kang & Amy H. I. Lee & Tzu-Ting Huang, 2016. "Project Management for a Wind Turbine Construction by Applying Fuzzy Multiple Objective Linear Programming Models," Energies, MDPI, vol. 9(12), pages 1-15, December.
    2. Lei Chen & Xiude Tu & Hongkun Chen & Jun Yang & Yayi Wu & Xin Shu & Li Ren, 2016. "Technical Evaluation of Superconducting Fault Current Limiters Used in a Micro-Grid by Considering the Fault Characteristics of Distributed Generation, Energy Storage and Power Loads," Energies, MDPI, vol. 9(10), pages 1-21, September.
    3. Nicu Bizon & Mircea Raceanu & Emmanouel Koudoumas & Adriana Marinoiu & Emmanuel Karapidakis & Elena Carcadea, 2020. "Renewable/Fuel Cell Hybrid Power System Operation Using Two Search Controllers of the Optimal Power Needed on the DC Bus," Energies, MDPI, vol. 13(22), pages 1-26, November.
    4. Muhammad Awais & Laiq Khan & Saghir Ahmad & Mohsin Jamil, 2021. "Feedback-Linearization-Based Fuel-Cell Adaptive-Control Paradigm in a Microgrid Using a Wavelet-Entrenched NeuroFuzzy Framework," Energies, MDPI, vol. 14(7), pages 1-17, March.
    5. Fengqi Zhang & Lihua Wang & Serdar Coskun & Hui Pang & Yahui Cui & Junqiang Xi, 2020. "Energy Management Strategies for Hybrid Electric Vehicles: Review, Classification, Comparison, and Outlook," Energies, MDPI, vol. 13(13), pages 1-35, June.
    6. Massimiliano Passalacqua & Mauro Carpita & Serge Gavin & Mario Marchesoni & Matteo Repetto & Luis Vaccaro & Sébastien Wasterlain, 2019. "Supercapacitor Storage Sizing Analysis for a Series Hybrid Vehicle," Energies, MDPI, vol. 12(9), pages 1-15, May.
    7. Nebiyu Kedir & Phuong H. D. Nguyen & Citlaly Pérez & Pedro Ponce & Aminah Robinson Fayek, 2023. "Systematic Literature Review on Fuzzy Hybrid Methods in Photovoltaic Solar Energy: Opportunities, Challenges, and Guidance for Implementation," Energies, MDPI, vol. 16(9), pages 1-38, April.
    8. Junhui Liu & Lei Feng & Zhiwu Li, 2017. "The Optimal Road Grade Design for Minimizing Ground Vehicle Energy Consumption," Energies, MDPI, vol. 10(5), pages 1-31, May.
    9. Xie, Shaobo & Hu, Xiaosong & Qi, Shanwei & Lang, Kun, 2018. "An artificial neural network-enhanced energy management strategy for plug-in hybrid electric vehicles," Energy, Elsevier, vol. 163(C), pages 837-848.
    10. Kongrit Mansiri & Sukruedee Sukchai & Chatchai Sirisamphanwong, 2018. "Fuzzy Control for Smart PV-Battery System Management to Stabilize Grid Voltage of 22 kV Distribution System in Thailand," Energies, MDPI, vol. 11(7), pages 1-19, July.
    11. Khlid Ben Hamad & Doudou N. Luta & Atanda K. Raji, 2021. "A Grid-Tied Fuel Cell Multilevel Inverter with Low Harmonic Distortions," Energies, MDPI, vol. 14(3), pages 1-24, January.
    12. Shaobo Xie & Huiling Li & Zongke Xin & Tong Liu & Lang Wei, 2017. "A Pontryagin Minimum Principle-Based Adaptive Equivalent Consumption Minimum Strategy for a Plug-in Hybrid Electric Bus on a Fixed Route," Energies, MDPI, vol. 10(9), pages 1-22, September.
    13. Yuping Zeng & Yang Cai & Guiyue Kou & Wei Gao & Datong Qin, 2018. "Energy Management for Plug-In Hybrid Electric Vehicle Based on Adaptive Simplified-ECMS," Sustainability, MDPI, vol. 10(6), pages 1-24, June.
    14. Guo, Hongqiang & Lu, Silong & Hui, Hongzhong & Bao, Chunjiang & Shangguan, Jinyong, 2019. "Receding horizon control-based energy management for plug-in hybrid electric buses using a predictive model of terminal SOC constraint in consideration of stochastic vehicle mass," Energy, Elsevier, vol. 176(C), pages 292-308.
    15. Xing Liu & Jinhua Du & Deliang Liang, 2016. "Analysis and Speed Ripple Mitigation of a Space Vector Pulse Width Modulation-Based Permanent Magnet Synchronous Motor with a Particle Swarm Optimization Algorithm," Energies, MDPI, vol. 9(11), pages 1-15, November.
    16. Girade, Piyush & Shah, Harsh & Kaushik, Karan & Patheria, Akil & Xu, Bin, 2021. "Comparative analysis of state of charge based adaptive supervisory control strategies of plug-in Hybrid Electric Vehicles," Energy, Elsevier, vol. 230(C).
    17. Saiteja, Pemmareddy & Ashok, B., 2022. "Critical review on structural architecture, energy control strategies and development process towards optimal energy management in hybrid vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    18. Fausto Pedro García Márquez & Alberto Pliego Marugán & Jesús María Pinar Pérez & Stuart Hillmansen & Mayorkinos Papaelias, 2017. "Optimal Dynamic Analysis of Electrical/Electronic Components in Wind Turbines," Energies, MDPI, vol. 10(8), pages 1-19, July.
    19. Yancai Xiao & Yi Hong & Xiuhai Chen & Wenjian Huo, 2016. "Switching Control of Wind Turbine Sub-Controllers Based on an Active Disturbance Rejection Technique," Energies, MDPI, vol. 9(10), pages 1-19, October.
    20. Xie, Shaobo & Hu, Xiaosong & Qi, Shanwei & Tang, Xiaolin & Lang, Kun & Xin, Zongke & Brighton, James, 2019. "Model predictive energy management for plug-in hybrid electric vehicles considering optimal battery depth of discharge," Energy, Elsevier, vol. 173(C), pages 667-678.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4094-:d:280632. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.