Model Reduction studies in LQG optimal control design for high-speed tilting railway carriages

Argyrios Zolotas, George Halikias, Roger Goodall, Jun Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

The paper studies the utilisation of model reduction techniques, both physical-based and mathematical-based, in designing simplified LQG optimal tilt controllers to improve the curving performance of railway coaches at increased running speed. The schemes make exclusive use of local practical signal measurements, i.e. sensors mounted on the current passenger coach. The fundamental problem related with straightforward classical nulling-feedback control is presented, while the commercially-used command-driven with precedence scheme is introduced. A combination of simulation results and, a recently proposed, tilt control system assessment method are employed for assessing the performance of the designed LQG controller.

Original languageEnglish
Title of host publicationProceedings of the 2006 American Control Conference
PublisherIEEE
Pages1796-1801
Number of pages6
ISBN (Electronic)1424402107
ISBN (Print)1424402093, 9781424402106, 9781424402090
DOIs
Publication statusPublished - 24 Jul 2006
Externally publishedYes
Event2006 American Control Conference - Minneapolis, United States
Duration: 14 Jun 200616 Jun 2006
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1499382

Conference

Conference2006 American Control Conference
CountryUnited States
CityMinneapolis
Period14/06/0616/06/06
Internet address

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Cite this

Zolotas, A., Halikias, G., Goodall, R., & Wang, J. (2006). Model Reduction studies in LQG optimal control design for high-speed tilting railway carriages. In Proceedings of the 2006 American Control Conference (pp. 1796-1801). [1656480] IEEE. https://doi.org/10.1109/ACC.2006.1656480