Design & Implementation Of Mamdani Fuzzy Inference System On An Automatic Train Braking System

Transcript

The growth in number of fuzzy logic applications led to the need of finding efficient ways to implement them. In this paper, the implementation of a Mamdani Fuzzy Inference System has been demonstrated with the application of an automatic train braking system. Here we are designing the fuzzy logic controller using fuzzy logic tool box in mat lab software. The main function of the fuzzy logic controller used here is to automatically stop the train in each station without any manual procedure of stopping the train. The Mamdani FIS is designed with two inputs, one output and 16 rules. Two inputs to the fuzzy logic controller are speed and distance & output is the braking power. Each input function is defined with four triangular & trapezoidal membership functions and centroid defuzzification method is used. The fuzzy controller takes the decision with reference to the speed and distance of the train.