Fuzzy Logic based Braking System for Metro Train

Abstract

Automated train braking system must be proficient and quickly responding. In Semi-Automated system where the train system controller is in human hand, there are chances of some errors in applying proper amount of braking power. In order to confront this concern, a fuzzy logic based automated braking system is designed to halt the train aligned. Regarding this paper work, a Fuzzy Logic based Metro Train Braking System is tried to be implemented. The Mamdani (Min- Max) type Fuzzy Logic based Controller is established using MATLAB Simulation in Fuzzy Logic toolbox. The possible inputs for the system are speed of train, distance between two stations, slope of the rails etc. but here, the selected inputs are the speed at which train is moving and the distance within two stations. The output braking power depends upon these two factors. Sixteen rules have been identified. The model is simulated fuzzy logic toolbox in MATLAB.