• DocumentCode
    2663186
  • Title

    Freeway on-ramp control based on the composition of PID controller and CMAC

  • Author

    Xinrong, Liang ; Yekun, Fan

  • Author_Institution
    Sch. of Inf., Wuyi Univ., Jiangmen
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    354
  • Lastpage
    357
  • Abstract
    The composition control method based on cerebellar model articulation controller (CMAC) and PID controller is proposed to regulate the number of vehicles entering a freeway entrance point. First, the freeway traffic flow dynamic model is built. Then the algorithm of the composition controller of CMAC and PID is formulated. In conjunction with nonlinear feedback theory, the on-ramp metering rate of a freeway is determined by using the composition controller. Finally, the control system is simulated in MATLAB software and fuzzy logic controller is also chosen in contrast to the composition controller. The result shows that the composition controller improves evidently on the aspects of response speed and dynamic performance. It can achieve a desired traffic density along the mainline of a freeway, and can make vehicles travel more efficiently and safely. This method provides a novel and practical way to realize freeway on-ramp metering.
  • Keywords
    cerebellar model arithmetic computers; feedback; fuzzy control; neurocontrollers; nonlinear control systems; road traffic; three-term control; traffic control; CMAC; Matlab software; PID controller; cerebellar model articulation controller; composition control method; freeway onramp control; freeway traffic flow dynamic model; fuzzy logic controller; nonlinear feedback theory; Control system synthesis; Feedback; Fuzzy logic; MATLAB; Mathematical model; Nonlinear dynamical systems; Road vehicles; Three-term control; Traffic control; Vehicle dynamics; CMAC; Freeway; Ramp control; Traffic flow model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2008. CCC 2008. 27th Chinese
  • Conference_Location
    Kunming
  • Print_ISBN
    978-7-900719-70-6
  • Electronic_ISBN
    978-7-900719-70-6
  • Type

    conf

  • DOI
    10.1109/CHICC.2008.4605341
  • Filename
    4605341