WORST-CASE VEHICLE EVALUATION METHODOLOGY : EXAMPLES ON TRUCK ROLLOVER/JACKKNIFING AND ACTIVE YAW CONTROL SYSTEMS

In this paper, the authors present a worst-case vehicle evaluation methodology. The method identifies worst-case excitation signals thus allowing for the assessment of vehicle performance under extreme conditions. Two case studies are used to show the design procedure and potential benefits of this method. These include the rollover and jackknifing of an articulated truck, and, the evaluation of an active yaw control system. The worst-case method produced unstable results in both cases at modest steering/braking levels.

  • Supplemental Notes:
    • Publication Date: November 1999 Remarks: Presentation at 4th International Symposium on Advanced Vehicle Control (AVEC 1998)
  • Corporate Authors:

    Technische Universiteit Delft

    ,    

    Crain Communications, Incorporated

    1155 Gratiot Avenue
    Detroit, MI  United States  48207-2997

    Mechanical Simulation Corporation

    ,    
  • Authors:
    • Ma, Wen-Hou
    • Peng, Huei
  • Publication Date: 1999

Language

  • English

Media Info

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Filing Info

  • Accession Number: 00799909
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: Oct 12 2000 12:00AM