@article{(Open Science Index):https://publications.waset.org/pdf/8787,
	  title     = {Intelligent ABS Fuzzy Controller for Diverse RoadSurfaces},
	  author    = {Roozbeh Keshmiri and  Alireza Mohamad Shahri},
	  country	= {},
	  institution	= {},
	  abstract     = {Fuzzy controllers are potential candidates for the
control of nonlinear, time variant and also complicated systems. Anti
lock brake system (ABS) which is a nonlinear system, may not be
easily controlled by classical control methods. An intelligent Fuzzy
control method is very useful for this kind of nonlinear system. A
typical antilock brake system (ABS) by sensing the wheel lockup,
releases the brakes for a short period of time, and then reapplies again
the brakes when the wheel spins up. In this paper, an intelligent fuzzy
ABS controller is designed to adjust slipping performance for variety
of roads. There are tow major sections in the proposing control
system. First section consists of tow Fuzzy-Logic Controllers (FLC)
providing optimal brake torque for both front and rear wheels.
Second section which is also a FLC provides required amount of slip
and torque references properties for different kind of roads.
Simulation results of our proposed intelligent ABS for three different
kinds of road show more reliable and better performance in compare
with two other break systems.},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {1},
	  number    = {5},
	  year      = {2007},
	  pages     = {257 - 262},
	  ee        = {https://publications.waset.org/pdf/8787},
	  url   	= {https://publications.waset.org/vol/5},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 5, 2007},
	}