• DocumentCode
    2019744
  • Title

    A Study on Matching and Multi-objective Fuzzy Control Strategy of Heavy Truck Suspension System

  • Author

    Yi-kai, Chen ; Jie, He ; Xu-hong, Li ; Jia, Peng ; Meng-qi, Gao

  • Author_Institution
    Sch. of Transp., Southeast Univ., Nanjing
  • Volume
    1
  • fYear
    2008
  • fDate
    17-18 Oct. 2008
  • Firstpage
    91
  • Lastpage
    94
  • Abstract
    Matching method of heavy truck-rear air suspensions is discussed, and a fuzzy control strategy which improves both ride comfort and road friendliness of truck by adjusting damping coefficients of the suspension system is found. In the first place, a Dongfeng EQ1141G7DJ heavy truck´s ten DOF whole vehicle-road model was set up based on Matlab/Simulink and vehicle dynamics. Then appropriate passive air suspensions were chosen to replace the original rear leaf springs of the truck according to truck-suspension matching criterions, consequently, the stiffness of front leaf springs were adjusted too. Then the semi-active fuzzy controllers were designed for further enhancement of the truck´s ride comfort and the road friendliness. After the application of semi-active fuzzy control strategy through simulation, is was indicated that both ride comfort and road friendliness could be enhanced effectively under various road conditions. The strategy proposed may provide theory basis for design and development of truck suspension system in China.
  • Keywords
    damping; fuzzy control; mathematics computing; road vehicles; suspensions (mechanical components); vehicle dynamics; Dongfeng EQ1141G7DJ heavy truck´s; Matlab; Simulink; damping coefficients; heavy truck suspension system; heavy truck-rear air suspensions; matching method; multi-objective fuzzy control strategy; vehicle dynamics; Computational intelligence; Fuzzy control; Helium; Mathematical model; Road vehicles; Springs; Transportation; Vehicle dynamics; Vibration control; Wheels; Fuzzy control; Heavy truck; Ride comfort; Road friendliness; Semi-active;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3311-7
  • Type

    conf

  • DOI
    10.1109/ISCID.2008.74
  • Filename
    4725564