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Paper Title
A Fuzzy Controlled Approach to Anti-lock Braking Systems for Vehicles
  Prasad R. Pande,  Prasad Shekdar,  Rajesh Junghare

Anti-lock brake system i.e. ABS is a nonlinear system which includes complex calculations of the slip ratio, adhesion coefficients and acceleration changes. This system may not be easily controlled by traditional control methods. An additional challenging issue which existing fuzzy ABS systems facing is the case of the so-called split-µ braking condition, where braking occurs while the wheels travel on different road surfaces. By keeping these conditions into account an advanced fuzzy ABS system is illustrated with different generalized mathematical models of wheel and vehicle. In this paper, multi stage cascaded fuzzy closed loop system is studied which has separate road surface recognition. An intelligent fuzzy ABS controller can be designed to adjust slipping performance for various kinds of road based on road identification and optimal slip ratio estimator. The fuzzy optimizer can be used to find the optimal wheel slips for the new surface which forces the actual wheel slips to track the optimal reference wheel slips. Enhanced fuzzy ABS algorithm can make sure the avoiding of wheel’s skidding problem in different road conditions. Moreover, the obtained fuzzy control is advantageous from viewpoint of reducing design complexity, anti-jamming and robustness properties of the controlled system.

Keywords- Anti-lock breaking system, closed loop system, fuzzy controller
Publication Details
Unique Identification Number - IJEDR1702093
Page Number(s) - 529-534
Pubished in - Volume 5 | Issue 2 | April 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Prasad R. Pande,  Prasad Shekdar,  Rajesh Junghare,   "A Fuzzy Controlled Approach to Anti-lock Braking Systems for Vehicles", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.529-534, April 2017, Available at :http://www.ijedr.org/papers/IJEDR1702093.pdf
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