Implementation Of Fuzzy Automated Brake Controller Using TSK Algorithm
Ruchi Mittal, Magandeep Kaur, Rahul B. Patel, B. P. Singh · AIP conference proceedings · 2010
In this paper an application of Fuzzy Logic for Automatic Braking system is proposed. 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. A digital controller design was chosen which combines a fuzzy logic element and a decision logic network. The controller identifies the current road condition and generates a command braking pressure signal Depending upon the speed and distance of train. This paper describes design criteria, and the decision and rule structure of the control system. The simulation results present the system’s performance depending upon the varying speed and distance of the train.