Fault Detection and Identification with Application to Advanced Vehicle Control Systems

In this report, a preliminary design of a health monitoring system for automated vehicles is developed and results of tests in a high- fidelity nonlinear simulation are reported. Two car models are described: low- dimensional linear models for fault detection filter design and high fidelity nonlinear model is used for evaluation and to obtain the linear models used for design. The faults and the fault detection filters and system are then described. An evaluation of the performance of the fault detection filters in a nonlinear simulation are presented. A fault detection filter residual processing system using a neural network, is then described.

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  • Supplemental Notes:
    • Publication Date: 1995 Published By: California PATH Program, Institute of Transportation Studies, University of California, Berkeley CA
  • Corporate Authors:

    University of California, Berkeley

    California PATH Program, Institute of Transportation Studies
    Richmond Field Station, 1357 South 46th Street
    Richmond, CA  United States  94804-4648

    University of California, Los Angeles

    Department of Mechanical, Aerospace and Nuclear Engineering
    Los Angeles, CA  United States 

    California Department of Transportation

    1120 N Street
    Sacramento, CA  United States  95814
  • Authors:
    • Douglas, Randal K
  • Publication Date: 1995

Language

  • English

Media Info

  • Media Type: Digital/other
  • Pagination: xviii, 74 p.
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00774107
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Report/Paper Numbers: UCB-ITS-PRR-95-26
  • Files: PATH, TRIS, STATEDOT
  • Created Date: Nov 17 1999 12:00AM