• DocumentCode
    233401
  • Title

    A switching strategy with a sliding mode control based on sub-optimal energy consumption for dual-motor servo systems with backlash

  • Author

    Minlin Wang ; Xuemei Ren ; Dongwu Li

  • Author_Institution
    Sch. of Autom., Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    8956
  • Lastpage
    8961
  • Abstract
    Aiming at a waste of energy resulted from using bias torque method for dual-motor servo systems with backlash, this paper presents a switching strategy with a sliding mode control based on sub-optimal energy consumption. A switching strategy is proposed to guarantee that one motor can contact with the load, and the other motor can go through the backlash quickly when the systems stay in the reversing direction stage. According to the maximum principle of optimal control, the optimal energy control law with an inequality constraint is derived by solving the Hamilton canonical equation. A sliding mode controller is designed based on optimal control and the energy consumption for the systems can be greatly reduced by this design. Meanwhile, the nonlinear influence of the backlash can be effectively eliminated through this switching strategy. Simulation results are conducted to validate the tracking performance and less energy consumption of the proposed method.
  • Keywords
    control nonlinearities; control system synthesis; energy consumption; machine control; maximum principle; power control; servomotors; time-varying systems; variable structure systems; Hamilton canonical equation; backlash; bias torque method; dual-motor servo systems; maximum principle; optimal energy control law; reversing direction stage; sliding mode control design; sub-optimal energy consumption; switching strategy; tracking performance; Dual-motor servo systems with backlash; energy sub-optimal control; sliding mode control; switching strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896508
  • Filename
    6896508