Implementations of UKF and EKF for Wheel Slip Control Purpose to Locomotive Computer

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00323081" target="_blank" >RIV/68407700:21230/18:00323081 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Implementations of UKF and EKF for Wheel Slip Control Purpose to Locomotive Computer
Original language description
Modern electric locomotives have to transfer high tractive effort between wheels and rails. Therefore, they have to be equipped with slip controllers that enable to achieve required force and keep wheelsets velocity in the acceptable value. The slip controller is a part of the locomotive control algorithm that runs on an axle computer that is typically a digital signal processor with limited computational power. The modern slip controller requires determining an actual value of adhesion that cannot be directly measured during the train runs. Therefore, the adhesion estimation is necessary. Extended Kalman filter or unscented Kalman filter can be used with an advantage because they can cope with some drawbacks of conventional methods. However, they are not typically used because of their high computational requirements. Therefore, the extended Kalman filter and unscented Kalman filter are implemented into a digital signal processor that is typically used in the locomotives as an axle computer to verify the possibility of used slip control methods based on the mentioned estimators in the paper. The verification is made on measured data.
Czech name
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Czech description
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Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2018 International Conference on Applied Electronics
ISBN
978-80-261-0721-7
ISSN
1803-7232
e-ISSN
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Number of pages
4
Pages from-to
117-120
Publisher name
University of West Bohemia
Place of publication
Pilsen
Event location
Plzeň
Event date
Sep 11, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000450228600028

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