Vol.130, No.3, 2022, pp.1719-1735, doi:10.32604/cmes.2022.019140
OPEN ACCESS
ARTICLE
A Novel Method for the Reconstruction of Road Profiles from Measured Vehicle Responses Based on the Kalman Filter Method
  • Jianghui Zhu1,3, Xiaotong Chang2, Xueli Zhang2, Yutai Su2, Xu Long2,*
1 School of Automation, Northwestern Polytechnical University, Xi’an, 710072, China
2 School of Mechanics, Civil Engineering & Architecture, Northwestern Polytechnical University, Xi’an, 710072, China
3 Chinese Flight Test Establishment, Xi’an, 710089, China
* Corresponding Author: Xu Long. Email:
(This article belongs to this Special Issue: Mechanical Reliability of Advanced Materials and Structures for Harsh Applications)
Received 05 September 2021; Accepted 29 September 2021; Issue published 30 December 2021
Abstract
The estimation of the disturbance input acting on a vehicle from its given responses is an inverse problem. To overcome some of the issues related to ill-posed inverse problems, this work proposes a method of reconstructing the road roughness based on the Kalman filter method. A half-car model that considers both the vehicle and equipment is established, and the joint input-state estimation method is used to identify the road profile. The capabilities of this methodology in the presence of noise are numerically demonstrated. Moreover, to reduce the influence of the driving speed on the estimation results, a method of choosing the calculation frequency is proposed. A road vibration test is conducted to benchmark the proposed method.
Keywords
Road profile reconstruction; inverse problems; precise integration; Kalman filter; spatial resolution
Cite This Article
Zhu, J., Chang, X., Zhang, X., Su, Y., Long, X. (2022). A Novel Method for the Reconstruction of Road Profiles from Measured Vehicle Responses Based on the Kalman Filter Method. CMES-Computer Modeling in Engineering & Sciences, 130(3), 1719–1735.
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