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  • A fuzzy logic controlled Anti-lock Braking System (ABS) for . . .
    A simple and effective fuzzy logic controller is designed for an Anti-Lock Braking System (ABS) to improve the braking performance and directional stability of an automobile during braking, and
  • A fuzzy Anti-lock braking system (ABS) controller using CMOS . . .
    Anti-lock braking systems (ABSs) have been enhanced to lower the problems of wheel lock and maximize vehicle control during sudden braking especially, on slippery road surfaces The purpose of such control is to improve wheel tractive force in the desired direction while keeping sufficient vehicle stability and steering ability and also
  • A fuzzy logic controller for an ABS braking system | IEEE . . .
    Anti-blocking system (ABS) brake controllers pose unique challenges to the designer: a) For optimal performance, the controller must operate at an unstable equilibrium point, b) Depending on road conditions, the maximum braking torque may vary over a wide range, c) The tire slippage measurement signal, crucial for controller performance, is both highly uncertain and noisy, d) On rough roads
  • Anti-Lock Braking Systems: A Comparative Study of Control . . .
    control strategies designed to enhance the performance of Anti-Lock Braking Systems (ABS) and improve vehicle safety The research explores three key approaches: First, it evaluates Fuzzy Logic-Controlled ABS, comparing five defuzzification algorithms using MATLAB’s Fuzzy Logic Toolbox Second, it investigates a Neural Network-Based
  • Fuzzy based Adaptive Control of Antilock Braking System
    normal braking ABS braking and ABS braking with fuzzy controller Based on the results, the fuzzy controller shows the improved vehicle stability 1 Brake torque vs time Fig10 Comparison of braking torque Graph shows that the brake torque of 650 Nm applied at about 0 5 seconds, non-ABS system has impact braking at
  • Study on Performance of Vehicle Anti-lock Braking . . . - IJSRED
    A mathematical model of Antilock braking system (ABS) components was developed with fuzzy logic (FL) control algorithm and response was simulated by MATLAB Simulink The different parameters like optimal slip and brake pedal force were controlled by FL controllers on the basis of slip, road conditions,
  • A fuzzy logic controlled Anti-lock Braking System (ABS) for . . .
    A simple and effective fuzzy logic controller is designed for an Anti-Lock Braking System (ABS) to improve the braking performance and directional stability of an automobile during braking, and steering-braking manoeuvres on uniform and nonuniform (µ-split) friction surfaces The system consists of two controllers working in tandem The first controller works on the longitudinal slip, and the





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