• DocumentCode
    1942047
  • Title

    Optimal control and gain scheduling of electrical power steering systems

  • Author

    Chabaan, Rakan C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Lawrence Technol. Univ., Southfield, MI, USA
  • fYear
    2009
  • fDate
    7-10 Sept. 2009
  • Firstpage
    53
  • Lastpage
    59
  • Abstract
    In this paper, an optimal control method is employed to design controllers for improved performance and robustness of electrical steering systems. Electric Steering systems are nonlinear MIMO systems with multiple objectives, including fast response to the driver torque command, good driver feel, and attenuation of load disturbance and sensor noises. Since the Electric steering system has nonlinear frictions, component deviations and load disturbances, its linearized model is subject to significant modeling errors and external disturbances. Consequently, electric steering controllers must provide substantial robustness. In this paper, a control design method is introduced which employs the boost curve to form a feedforward control and an MISO Hinfin optimal feedback to ensure refined performance, robustness, and disturbance attenuation. The controller is evaluated via simulation on both linearized systems and original nonlinear systems, and verified on vehicle testing data.
  • Keywords
    Hinfin control; control system synthesis; electric vehicles; feedforward; scheduling; steering systems; vehicle dynamics; MISO Hinfin optimal feedback; control design method; electric steering controllers; electric vehicles; electrical power steering systems; feedforward control; gain scheduling; nonlinear MIMO systems; optimal control; Attenuation; Control systems; MIMO; Noise robustness; Optimal control; Power steering; Robust control; Sensor systems; Steering systems; Torque; automotive applications; robust control; steering systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference, 2009. VPPC '09. IEEE
  • Conference_Location
    Dearborn, MI
  • Print_ISBN
    978-1-4244-2600-3
  • Electronic_ISBN
    978-1-4244-2601-0
  • Type

    conf

  • DOI
    10.1109/VPPC.2009.5289870
  • Filename
    5289870