• DocumentCode
    1865477
  • Title

    Mu Synthesis Robust Control on Regenerative Braking of Hybrid Power System Electric Vehicle

  • Author

    Yan Qun ; Xu Peng ; Yu Da-Tai ; Tang Yong-Xin

  • Author_Institution
    Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • Volume
    1
  • fYear
    2013
  • fDate
    26-27 Aug. 2013
  • Firstpage
    546
  • Lastpage
    551
  • Abstract
    The μ synthesis robust controllers for hybrid-power EV are developed to ensure the robustness of closed-loop system under the influence of uncertainties, such as the parameter perturbation and the unmodeled dynamics, and to minimize the effect of the disturbances, such as the variation of the battery and ultra capacity voltage, the road state, and the driving mode of vehicle. The simulated and experimental results show that the proposed control system of hybrid-power EV is able to avoid battery mangling by the big current during the braking, and recover more energy during the regenerative braking process. In addition, compared with traditional PID controller, μ synthesis robust controller has better performance at response speed, steady-state tracking error and anti-interference, and can recover more energy during the regenerative-braking process, enhance the operating efficiency.
  • Keywords
    closed loop systems; control system synthesis; hybrid electric vehicles; regenerative braking; robust control; μ synthesis robust control; antiinterference; battery variation; closed-loop system robustness; disturbance effect minimization; hybrid power system electric vehicle; hybrid-power EV; parameter perturbation; regenerative braking; regenerative braking process; response speed; road state; steady-state tracking error; traditional PID controller; ultracapacity voltage; unmodeled dynamics; vehicle driving mode; Batteries; Force; Mathematical model; Process control; Resistance; Robust control; Robustness; µ synthesis robust control; Electric vehicle; Hybrid power system; Regenerative braking; Ultracapacity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-0-7695-5011-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2013.136
  • Filename
    6643948