• DocumentCode
    154688
  • Title

    Multi-model fuzzy controller for vehicle lane tracking

  • Author

    Guangwei Wang ; Jin Zhao ; Xiangnan Zhang ; Rongchen Zhao

  • Author_Institution
    Sch. of Mech. Eng., Guizhou Univ., Guiyang, China
  • fYear
    2014
  • fDate
    8-11 Oct. 2014
  • Firstpage
    1341
  • Lastpage
    1346
  • Abstract
    A fuzzy-logic-based multi-model lateral controller for vehicle trajectory following is presented. It is designed to control the steering angle based on the lateral deviation and the yaw angle. Firstly, local controllers are designed for four speed regions respectively. Then, by using a weighted integration of the four local outputs through a fusion module, a global control output is obtained so as to ensure the global performance. The multi-model fuzzy controller, which inherits the advantages of both the multi-model control and fuzzy control, can be used for wide range operation of vehicle speed. To verify the robustness and effectiveness of the proposed controller, two simulation tests are carried out using AMESim and Matlab/Simulink. The results from the first simulation show the ability of the proposed controller in different speed operations, and the other test demonstrates that the proposed controller achieves satisfactory results for different curvature of trajectory.
  • Keywords
    control engineering computing; fuzzy control; position control; road traffic control; traffic engineering computing; AMESim; Matlab; Simulink; fusion module; lateral deviation; multimodel fuzzy controller; multimodel lateral controller; vehicle lane tracking; yaw angle; Conferences; Intelligent transportation systems; AMESim; intelligent vehicle; multi-model control; path following;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ITSC.2014.6957873
  • Filename
    6957873