Mechanica 2011 - IIT Madras

April 9,10 (Mechanical)

Mechanica 2011, an annual technical festival of the Mechanical Engineering Department of IIT Madras, Chennai. At Mechanica, we present to you unparallel oppoirtunities to test your skills.

National Symposium on Rotor Dynamics - IIT Madras

December 19,20,21

Most machines have one or more rotating parts. Rotating machine elements thus form the backbone of industrial infrastructure and therefore play a pivotal role in the growth and development of the country. Rotor Dynamics is the key in design and maintenance of all such rotating machinery. This area has made tremendous strides in recent years.

ObCom 2011 - VIT

September 9

This International Conference is a major event to be conducted following the grand success of series of ObCom conferences during 2003, 2004 and 2006, which were audited by a good number of participants from Academia and Industry across the World. The past ObCom conferences received good contributions from academia, industry and research organizations. Our sponsors included governmental and non-governmental agencies like DRDO, ISTE, DIT, CSIR etc.

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Technical Papers and Symposium Details

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FUZZY LOGIC BASED AUTOMATIC BRAKING SYSTEM IN TRAINS

Posted by tpapers On 6:35 pm
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.

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