11-05-2013, 02:55 PM
FUZZY LOGIC BASED AUTOMATIC BRAKING SYSTEM IN TRAINS
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ABSTRACT:
This paper focuses a new way of approach to find the solution for the artificial
intelligent braking system in train using the fuzzy logic controller. 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. Generally the Indian railways use two drivers to
operate a train. In this paper the usage of fuzzy logic controller reduces the number of drivers
to one. The fuzzy logic controller in train gets activated about 500m from the station so that
the train stops at the station smoothly and automatically. The fuzzy controller takes the
decision with reference to the speed and distance of the train.
INTRODUCTION
Day to day new advancements is taking place in railways. The new way of approach is
to reduce the man power and to automate the system. We can use the advanced control
equipments in order to automate the system effectively. Generally the design of automatic
braking system becomes more complex but it can be made easier and flexible by using fuzzy
logic controller. In order to get the dynamic output we should connect the target to the fuzzy
controller. The input of the fuzzy controller is chosen as distance and speed. The output of the
fuzzy controller is breaking power. Based on rules of logic obtained from train drivers we
Have framed 4x4 (16 rules) for fuzzy logic controller. In our design we use the triangular and
trapezoidal member functions. The results from mat lab simulation clearly show that braking
power is smooth and the train stops completely when the distance becomes zero.
OVERVIEW OF DESIGN
The design starts with the selection of number of stations where the train should stop.
The distance between the stations is calculated. The fuzzy logic controller for braking system
in train gets activated about 500m from the station. The controller gets its input as speed and
Distance instantaneously. The numerical values are converted into fuzzy sets by fuzzification
Technique.
SIMULATION CIRCUIT OF FUZZY LOGIC CONTROLLER
This is our simulation circuit which will show the amount of braking power required
to stop the train at the station for the given inputs (Distance, Speed).But from this simulation
circuit we don't know whether the train is stopped or not in the station so we are designed
another simulation circuit in order to prove the train stops at the station.
CONCLUSION:
The use of fuzzy logic controller thus gives a smooth braking system. The accuracy of the
system obtained for braking System in subway trains will be much higher by the use of fuzzy
logic controller.