Model_reduction_studies_Zolotas.pdf (364.05 kB)
Model reduction studies in LQG optimal control design for high-speed tilting railway carriages
conference contribution
posted on 2009-03-12, 12:42 authored by Argyrios C. Zolotas, G.D. Halikias, Roger Goodall, Jun WangThe paper studies the utilisation of model reduction
techniques, both physical-based and mathematicalbased,
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.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Citation
ZOLOTAS, A.C. ... et al, 2006. Model reduction studies in LQG optimal control design for high-speed tilting railway carriages. IN: Proceedings, IEEE American Control Conference, Minneapolis, Minnesota, USA, 14-16 June 2006, pp. 1796 - 1801Publisher
© IEEEVersion
- VoR (Version of Record)
Publication date
2006Notes
This is a conference paper [© IEEE]. It is also available from: http://ieeexplore.ieee.org/servlet/opac?punumber=11005. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.ISBN
1424402093Language
- en