Experimental Results of Fuzzy Logic Control for Lateral Vehicle Guidance
A Fuzzy logic controller (FLC) is designed and implemented in real time on a Toyota Celica test vehicle to achieve control of the lateral motion of the vehicle. The structure of the FLC is modularized as a feedback, preview, and gain scheduling rule base. The parameters of the FLC are tuned manually using information from characteristics of human driving operation and an existing controller. The fuzzy logic control strategies are implemented on the test vehicle, automatically following a multiple curved track using discrete magnetic markers as a lateral error reference system. The test results of the FLCs are shown with variations in driving conditions, and a comparison is made to similar tests conducted using the frequency shaped linear quadratic (FLSQ) controller with preview control.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/10551425
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Supplemental Notes:
- Publication Date: 1994 Published By: California PATH Program, Institute of Transportation Studies, University of California, Berkeley, Calif.
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Corporate Authors:
University of California, Berkeley
California PATH Program, Institute of Transportation Studies
Richmond Field Station, 1357 South 46th Street
Richmond, CA United States 94804-4648California Department of Transportation
1120 N Street
Sacramento, CA United States 95814 -
Authors:
- Hessburg, Thomas
- Publication Date: 1994
Language
- English
Media Info
- Media Type: Digital/other
- Pagination: 45 p.
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Serial:
- PATH Research Report
- Publisher: University of California, Berkeley
- ISSN: 1055-1425
Subject/Index Terms
- TRT Terms: Advanced vehicle control systems; Automatic steering control; Fuzzy controllers
- Subject Areas: Operations and Traffic Management;
Filing Info
- Accession Number: 00785271
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Report/Paper Numbers: UCB-ITS-PRR-94-03
- Files: PATH, STATEDOT
- Created Date: Nov 17 2000 12:00AM