This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
A Fuzzy Based Vehicle Dynamic Stability Control (FDSC)
Technical Paper
2006-01-3483
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
In this paper, we explain the process of designing a fuzzy based controller which can be installed in a vehicle. This controller uses sensors and actuators to coordinate suspension, brakes and steering system in critical situations to help a driver maintain the kinetic balance of the vehicle. An advantage of this controller is that it doesn't interfere with the driver's habit in vehicle control and it resumes functioning only in critical moments. Using various actuators and sensors, we introduce a new approach to detect instability and the turnover threshold. This makes the proposed fuzzy analyzer a novel one.
Recommended Content
Authors
Citation
Davoudi, M., Menhaj, M., and Davoudi, M., "A Fuzzy Based Vehicle Dynamic Stability Control (FDSC)," SAE Technical Paper 2006-01-3483, 2006, https://doi.org/10.4271/2006-01-3483.Also In
References
- Palkovics Laszlo Dr. Identification and Control Problems in Vehicle System Design Knorr-Bremse Publication 1991
- Rossetter Eric J. A Study of Lateral Vehicle Control under a ‘Virtual’ Force Framework Department of Mechanical Engineering Stanford, California 94305-4021
- Mastronardi Frederic Fenoglio Marco Vehicle Dynamics with Real Time Damper Systems FIAT Auto Chassis Department 1992
- Donahue Mark D. Implementation of an Active Suspension, Preview Controller for Improved Ride Comfort Department of Mechanical Engineering, Boston University 1998
- Milliken William F. Milliken Douglas L. Race Car Vehicle Dynamics SAE International 1-56091-526-9
- Sergey Takahide Hagiwara An application of a smart control suspension system for a passenger car based on soft computing Mechanical Engineering, Stanford university 1998
- Gadda Christopher D. Incorporating a Model of Vehicle Dynamics in a Diagnostic System for Steer-By-Wire Vehicles Dept. of Mechanical Engineering Stanford, California 94305-4021 AVEC '04
- Rossetter Eric J. Gerdes J. Christian Performance Guarantees for hazard based lateral vehicle control Department of Mechanical Engineering Stanford University Stanford, California 94305-4021
- Lewellyn Harry Center of Gravity Academic Publ. Ecological 4Wheeling Adventures REPRINT Boston 1994
- Buckholtz Kenneth R. Use of Fuzzy Logic in Wheel Slip Assignment: Yaw Rate Control with Sideslip Angle Limitation Delphi Automotive Systems, Vehicle Dynamics and Simulation 2002 (SP-1656)
- Buchanan B. G. Shortlire E. H. Rule-Based Expert Systems Addison-Wesley Reading, MA, Menlo Park, CA 1984
- Novak V. Per¯lieva I. Mo·cko·r J. Mathematical principles of fuzzy logic Kluwer Academic Publ. Boston/Dordrecht 1999
- Kreinovich V. Mouzouris G. C. Nguyen H. T. Fuzzy rule based modeling as a universal approximation tool Nguyen H. T. Sugeno M. Fuzzy Systems: Modeling and Control Kluwer Boston, MA 1998 135195
- Bonissone Piero P. Fuzzy Logic and Soft Computing: Technology Development and Applications General Electric CRD Schenectady NY 12309, USA