Abstract
Track irregularity is the main factor that influences vehicle running stability and passenger riding comfortableness, so monitoring the status of track irregularity in time is of great significance to ensure the operation safety. To estimate the track irregularity in wide wave bands which can hardly be detected by a single inertia, a method based on multi-inertia observation and extended Kalman filtering was proposed. At first, Recursive Jacobi matrix is calculated according to the vehicle-track coupling state-space equation. Then, the optimal state estimation is obtained combining the result with the linear observation equation. Finally, the simulation experiment under the track irregularity excitation is carried out on the MATLAB platform. Applying the proposed method to the simulated data, the vertical track irregularity can be estimated. The results show that the method can effectively estimate track irregularity with advantages such as high accuracy and good robustness.
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Acknowledgments
This study was supported by the Key Technologies Research and Development Program of China (2011BAG01B05), and the Fundamental Research Funds for the Central Universities (AE89454). The author gratefully acknowledge the anonymous reviewers for their careful work and thoughtful suggestions that have helped improve this paper substantially.
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Wang, G., Xing, Z., Wang, X., Chen, Y., Qin, Y. (2016). Estimation of Vertical Track Irregularity Based on Extended Kalman Filter. In: Jia, L., Liu, Z., Qin, Y., Ding, R., Diao, L. (eds) Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation. Lecture Notes in Electrical Engineering, vol 377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49367-0_27
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DOI: https://doi.org/10.1007/978-3-662-49367-0_27
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