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Research On Intelligent Control Of Anti-skid System In Brake System For Electric Locomotive

Posted on:2007-01-07Degree:MasterType:Thesis
Country:ChinaCandidate:A Q ShangFull Text:PDF
GTID:2132360185959411Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
With the requirement of fast speed and heavy load for transportation , the braking performance of passenger trains and freight trains in our country has been developed continuously in recent years. At the same time, people begin to concern with braking performance of an electric locomotive, which is one of transport machinery in mining area, and hope it can brake effectively when its speed is increased. In order to meet these requirements , people must improve the performance of old brake system in the electric locomotive or add to new auxiliary system.The computer controlling anti-skid system, which has complex structure , is a main auxiliary sub-system of a train braking system. It concerns adhesion theory between wheel and rail, signal-acquisition, electronic control and intelligent control theory, and it embody adequately intercross and penetration in each knowledge field . This thesis is mainly concentrated upon the heart of the anti-skid system that is the control system. The research process is followed with analyzing wheel-rail's adhesion during braking, designing the fuzzy neural network control system, verifying control system and demonstrating working state.Although the research on intelligent control for anti-skid system began several years ago , it has been proved that it had a good developing prospect. Firstly, the wheel-rail's adhesion during braking is researched, and the optimal adhesion is proved to be existed at the inflexion point of speed. The inflexion is the second differential of the speed curve and the physical meaning is the same to the jerk, so the jerk is introduced into the control model of anti-skid system. The speed difference is replaced by the slip ratio, because tests show that the slip ratio is closely related to the adhesion. So three parameters, namely the slip ratio, the acceleration or deceleration, the jerk ,are chosen as anti-skid criterions . The fuzzy neural network control model of anti-skid is built in term of three parameters. Secondly, control software of anti-skid...
Keywords/Search Tags:fuzzy neural network, adhesion, anti-skid system, intelligent control
PDF Full Text Request
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