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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 7    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 7,July 2012
Fuzzy Logic - Anti-lock Brake System[
Full Text(PDF, )  PP.478-485  
Author(s)
Darshan Modi, Zarana Padia, Kartik Patel
KEYWORDS
ABSTRACT
In recent years fuzzy logic control techniques have been applied to a wide range of systems. This paper presentation deals with study antilock-braking system (ABS) using fuzzy logic. Vehicle dynamics and braking systems are complex and behave strongly non-linear which causes difficulties in developing a classical controller for ABS. Many electronic control systems in the automotive industry such as automatic transmissions, engine control and Anti-lock Brake Systems (ABS) realize superior characteristics through the set of fuzzy logic based control rather than traditional control algorithms. ABS is now accepted as an essential contribution to vehicle safety and speed estimation using fuzzy logic. Intel Corporation are leading supplier of Fuzzy Logic tools and systems. The use of fuzzy-logic in conjunction with microcontrollers is a fairly new development in automotive applications. Improving ABS capability is a mutual goal of automotive manufacturers and Intel Corporation. In future it is expected that ABS will be implemented all over the world.
References
[1] Daiß, A. and Kiencke, U.: Estimation of Vehicle Speed - Fuzzy-Estimation in Comparison with Kalman-Filtering, 4th IEEE CCA, New York, 1995.

[2] Ostertag, M.: Strukturierte Optimierung technischer Prozesse am Beispiel der KFZ Crasherkennung, Institute for Industrial Information Systems, University of Karlsruhe, Ph. D. dissertation, 1996.

[3] Klein, R.: Realisierung einer Fuzzy-ABS-Regelung mit dem Mikrocontroller SAB 80C166 und dem Fuzzy-Coprozessor SAE 81C99A, Project work at the Institute for Industrial Information Systems, University of Karlsruhe, 1995.

[4] Daiß, A.: Beobachtung fahrdynamischer Zustände und Verbesserung einer ABS- und Fahrdynamikregelung, Institute for Industrial Information Systems, University of Karlsruhe, Ph. D. dissertation, 1996.

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