Automatic Slip Control for Railway Vehicles
* Automatic Slip Control for Railway Vehicles
* Daniel Frylmark & Stefan Johnsson
* Reg nr: LiTH-ISY-EX-3366
Abstract
In the railway industry, slip control has always been essential due
to the low friction between the wheels and the rail. In this master's
thesis we have gathered several slip control methods and evaluated them.
These evaluations were performed in Matlab-Simulink on a slip process
model of a railway vehicle. The objective with these evaluations were
to show advantages and disadvantages with the different slip control
methods.
The results clearly show the advantage of using a slip optimizing
control method, i.e. a method that finds the optimal slip and thereby
maximizes the use of adhesion. We have developed two control
strategies that we have found superior in this matter. These methods
have a lot in common. For instance they both use an adhesion observer
and non-linear gain, which enables fast optimization. The difference
lies in how this non-linear gain is formed. One strategy uses an
adaptive algorithm to estimate it and the other uses fuzzy logic.
A problem to overcome in order to have well functioning slip
controllers is the formation of vehicle velocity. This is a
consequence of the fact that most slip controllers use the velocity as
a control signal.
Daniel Frylmark and Stefan Johnsson
2003
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Last updated: 2021-11-10
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