• DocumentCode
    3019757
  • Title

    The Performance Improvements of an Active Suspension with Grey-Fuzzy Algorithm Employing Passenger Car

  • Author

    Ji, Chien-Yu ; Chang, Jui-Chun

  • Author_Institution
    Dept. of Mech. Eng., Ching Yun Univ., Jungli, Taiwan
  • Volume
    4
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    570
  • Lastpage
    574
  • Abstract
    In this paper, we combine grey theorem with fuzzy control. The main focuses of this paper are (1) applying this to the active suspension system and (2) discussing the effectiveness of the Grey-Fuzzy controller by the following performance indexes which include Ride Comfort Index (Ratio-VA), Pitch Motion Index (Ratio-PA), and Roll Motion Index (Ratio-RA). These performance indices indicate the ride comfort, handling quality and suspension compactness of a car. The grey-fuzzy control reduces the oscillation of the vehicle. As a result, passengers will not only feel an increased comfort and quality of ride, but also have an increased sense of the safety of the vehicle. Satisfactory performances have been achieved by such a grey-fuzzy control scheme.
  • Keywords
    automotive engineering; fuzzy control; grey systems; motion control; suspensions (mechanical components); active suspension system; fuzzy control; grey theorem; grey-fuzzy control; passenger car; pitch motion index; ride comfort index; roll motion index; Actuators; Control systems; Damping; Fuzzy control; Motion control; Performance analysis; Shock absorbers; Springs; Vehicle dynamics; Vehicle safety; Active Suspension Controller; Grey-Fuzzy; Performance Index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.293
  • Filename
    5376233