• DocumentCode
    2733291
  • Title

    The optimal test PID control for CVT control system

  • Author

    Youmin, Wang ; Penghuang, Chu

  • Author_Institution
    Anhui Key Lab. of Adv. Numerical Control & Servo Technol., Anhui Univ. of Technol. & Sci., Wuhu, China
  • Volume
    2
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    To increase control precision and improve dynamic characteristic of continuously variable transmission control system, a method of processing data called optimal test that usually adopted in chemical experiment is applied. After parameters are ensured, the critical gain KV of the open-loop system is determined by the stability, then the factors are determined and the orthogonal table is constituted to try out. In the end, the dynamic characteristics of the system are simulated by SIMULINK software. Thus the optimum PID parameters can be achieved. Through the method above, we can avoid a lot of complex trials which determine PID parameters and get better control effect. It is shown by simulation that the PID rectification for CVT control system using Optimal test increases fairly control precision, rapidity of step response and make the quality of the control system best.
  • Keywords
    control engineering computing; open loop systems; optimal control; simulation; stability; three-term control; variable speed gear; CVT control system; SIMULINK; continuously variable transmission control system; critical gain; open-loop system; optimal test PID control; stability; Cities and towns; Control system synthesis; Control systems; Mechanical power transmission; Optimal control; Servomechanisms; System testing; Three-term control; Vehicle dynamics; Vehicles; CVT; Control system; Optimal test; PID rectification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358066
  • Filename
    5358066