• DocumentCode
    132731
  • Title

    An on-line fast model predictive control of highpower ultracapacitors charging current for renewable energy urban rail vehicle

  • Author

    Zhiwu Huang ; Hao Li ; Jia Hu ; Weirong Liu ; Jianfeng Liu

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
  • fYear
    2014
  • fDate
    16-20 March 2014
  • Firstpage
    1612
  • Lastpage
    1617
  • Abstract
    Ultracapacitors have been supplied as main power in urban rail vehicle due to their characteristic of high efficiency. Given the model complexity and hard constraints of the ultracapacitors, the charging current control of ultracapacitors under this condition is challenging as fast charging is required. In this paper, an on-line fast model predictive control is proposed to address the problem based on extended interior-point method. By utilizing fixed barrier parameter and warm start mechanisms, the on-line fast MPC substantially simplifies the solving process and regulates the charging current of ultracapacitors rapidly and precisely. Meanwhile, a Kalman filter is integrated to estimate the system states and to adapt the load uncertainty. Experiment results are presented to demonstrate the effectiveness of the proposed control method.
  • Keywords
    Kalman filters; battery powered vehicles; electric current control; predictive control; railway electrification; renewable energy sources; supercapacitors; transport control; Kalman filter; MPC; extended interior-point method; fixed barrier parameter mechanism; high-power ultracapacitor charging current control; online fast model predictive control; renewable energy urban rail vehicle; warm start mechanism; Kalman filters; Power electronics; Predictive control; Rails; Supercapacitors; Vehicles; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Power Electronics Conference and Exposition (APEC), 2014 Twenty-Ninth Annual IEEE
  • Conference_Location
    Fort Worth, TX
  • Type

    conf

  • DOI
    10.1109/APEC.2014.6803522
  • Filename
    6803522