This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
The Use of Fuzzy Controller for Optimizing the Brake Performance
Technical Paper
2002-01-2580
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Among various innovations on Intelligent Transportation Systems ITS, several researches are performing on implementation of Adaptive Fuzzy Controllers in braking systems.
The braking procedure consists of two basic consequent steps; the first step is the time interval (delay) which takes to reach an optimum deceleration, and the second is the time of actual braking. Though several efforts have been done to reduce the actual braking distance by increasing the effective contact of tires to the road surface (i.e. New generation of tiers, Anti-Lock Braking Systems,....), but this paper presents a fuzzy braking control system to enhance the performance of braking system by partial assistance of the driver in the first step of emergency braking, in this way the equipped vehicle starts to brake by a shorter delay.
Recommended Content
Citation
Mogaddam, S., "The Use of Fuzzy Controller for Optimizing the Brake Performance," SAE Technical Paper 2002-01-2580, 2002, https://doi.org/10.4271/2002-01-2580.Also In
References
- The Use of Self Tuning Fuzzy Controller for Impedance Matching Adibi A. Ghafoory H. Mogaddam Seyed Mohammad Reza Hashemi Amir kabir university Iran IEEE international conference on control sys Elm-o-sanat university 1995 Tehran, Iran
- Johanson G. Rumar K. “Driver brake reaction times” Human Factors 13 23 27 1972
- Elting David Fennich Mohammed Kowalczyk Robert Hellenthal Bert “Fuzzy Anti-Lock Brake System” Intel Corporation, Automotive operation Arizona
- Lee D.N. “A theory of visual control braking based on information about time-to-collision” Perception 5 437 459
- Van Winsam W. Heino A. “Choice of time headway in Car-Following and the role of Time-To-Collision information in braking” Ergonomics 4 579 592 1996
- Bernasch J. Naab K. “Adaptive Fuzzy Control for driver assistance” BMW AG Munchen
- Bengtsson Johan “Adaptive Cruise Control and Driver Modeling” Lund institute of technology
- Hitz J. Koziol J. Lam A. “Safety evaluation results from the field operational test of an intelligent control sys”
- Altrock Constantin Von “Fuzzy Logic in Automotive Engineering” Circuit Cellar 1997 88 Nov.
- The Control of Reflected Signals from Body Tissue by a Fuzzy Controller 1995 Amirkabir University Tehran, Iran
- ImechE Advanced Driver Assistance Systems Seminar Publication 1999-13 London, UK
- NHTSA Preliminary Assessment of Crash Avoidance Systems Benefits 1996 NHTSA Benefits Working Group
- Tribe, R. Prynne, K. Wetswood, I. Clarke, N. et al. 1995 Intelligent Driver Support Proc. Of 2 nd Word Congress on ITS Yokohoma, Japan 1995