M Mirzapour
Fault tolerant strategy of actuator failure for actively controlled railway wheelsets
Mirzapour, M; Mei, TX; Li, H
Abstract
This paper presents the development of a fault-tolerant scheme through an analytical redundancy approach for actively controlled railway wheelsets. The main aim of the study is to maintain the basic control of the rail vehicles in the event of actuator malfunction and to ensure the vehicle stability and good curving performance without the need for additional actuators. The presented fault-tolerant strategy mainly consists of a fault detection and isolation (FDI) scheme and re-scheduling of the controllers. The FDI has been developed through the use of a model-based approach to identify actuator and sensor failures and the re-scheduling of the controller has been investigated with the optimization of control gains tuned to deal with different failure modes. Computer simulation has been used to assess the system performance of the proposed fault tolerant strategy.
Citation
Mirzapour, M., Mei, T., & Li, H. Fault tolerant strategy of actuator failure for actively controlled railway wheelsets. Presented at 2014 UKACC International Conference on Control, Loughborough University
Presentation Conference Type | Other |
---|---|
Conference Name | 2014 UKACC International Conference on Control |
Conference Location | Loughborough University |
End Date | Jul 11, 2014 |
Online Publication Date | Oct 2, 2014 |
Publication Date | Oct 2, 2014 |
Deposit Date | Mar 9, 2015 |
Book Title | 2014 UKACC International Conference on Control (CONTROL) |
ISBN | 9781479950119 |
DOI | https://doi.org/10.1109/control.2014.6915201 |
Publisher URL | http://dx.doi.org/10.1109/control.2014.6915201 |
Related Public URLs | http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=87 |
Additional Information | Event Type : Conference |
You might also like
Robust control and actuator dynamics compensation for railway vehicles
(2016)
Journal Article
Design and optimisation of wheel-rail profiles for adhesion improvement
(2016)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search