Nowadays everything in the world is getting automated to support and reduce the work of the humans. When a system is automated it should have more advantages and should be safe. Here in this project we have the idea to automate a train movement between stations i.e., the train itself has to know that it is reaching its destination and should get slow down to stop at the destination. This is simply like the art of putting the human brain into an electric vehicle, to act accordingly. The Best way of incorporating a human brain into train can be done only with the help of fuzzy controller.
Introduction and Need for Fuzzy Logic:
Fuzzy logic is a powerful new technology and has emerged as a profitable tool for the controlling of subway systems and complex industrial processes, as well as for household and entertainment electronics, diagnosis systems and other expert systems. Although, fuzzy logic was invented in United States the rapid growth of this technology has started from Japan and has now again reached the USA and Europe also.
Fuzzy has become a keyword for marketing. Electronic articles without fuzzy component gradually turn out to be a dead stock. As a gag, that shows the popularity of fuzzy logic, there even exists a toilet paper with ‘Fuzzy Logic’ Printed on it. In Japan fuzzy-research is widely supported with a huge budget. In Europe and the USA efforts are being made to catch up with the tremendous Japanese success. For instance, the NASA space agency is engaged in applying fuzzy logic for complex docking-maneuvers.
Fuzzy logic is basically a multi-valued logic that allows intermediate values to be defined between conventional evaluations like yes/no, true/false, black/white etc. Notions like rather warm or pretty cold can be formulated mathematically and processed by computers. In this way an attempt is made to apply a more human-like way of thinking in the Automation of Trains.
Proposed System
The proposed system uses “sensors” to detect the speed of the train and also for calculating the remaining distance. The output from the sensors are conditioned and given as a input to the PIC micro controller. The controller gives its output to the pressure system which is used to apply brakes of the train.
System Design
Input of the fuzzy control system
We use two input values to determine the output of the Fuzzy Automated Train Speed Control System. The inputs to Fuzzy inputs are
i. Speed
ii. Distance
Speed = Speed at which the train is moving
Distance = Distance for the train to reach the destination
Output of the fuzzy control system
The output of the fuzzy system is to give the percentage of the power to be applied to the braking system.
Introduction and Need for Fuzzy Logic:
Fuzzy logic is a powerful new technology and has emerged as a profitable tool for the controlling of subway systems and complex industrial processes, as well as for household and entertainment electronics, diagnosis systems and other expert systems. Although, fuzzy logic was invented in United States the rapid growth of this technology has started from Japan and has now again reached the USA and Europe also.
Fuzzy has become a keyword for marketing. Electronic articles without fuzzy component gradually turn out to be a dead stock. As a gag, that shows the popularity of fuzzy logic, there even exists a toilet paper with ‘Fuzzy Logic’ Printed on it. In Japan fuzzy-research is widely supported with a huge budget. In Europe and the USA efforts are being made to catch up with the tremendous Japanese success. For instance, the NASA space agency is engaged in applying fuzzy logic for complex docking-maneuvers.
Fuzzy logic is basically a multi-valued logic that allows intermediate values to be defined between conventional evaluations like yes/no, true/false, black/white etc. Notions like rather warm or pretty cold can be formulated mathematically and processed by computers. In this way an attempt is made to apply a more human-like way of thinking in the Automation of Trains.
Proposed System
The proposed system uses “sensors” to detect the speed of the train and also for calculating the remaining distance. The output from the sensors are conditioned and given as a input to the PIC micro controller. The controller gives its output to the pressure system which is used to apply brakes of the train.
System Design
Input of the fuzzy control system
We use two input values to determine the output of the Fuzzy Automated Train Speed Control System. The inputs to Fuzzy inputs are
i. Speed
ii. Distance
Speed = Speed at which the train is moving
Distance = Distance for the train to reach the destination
Output of the fuzzy control system
The output of the fuzzy system is to give the percentage of the power to be applied to the braking system.
No comments:
Post a Comment