Open Access

ARTICLE

A Novel Method for the Reconstruction of Road Profiles from Measured Vehicle Responses Based on the Kalman Filter Method

Jianghui Zhu^1,3, Xiaotong Chang², Xueli Zhang², Yutai Su², Xu Long^2,*

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 the Special Issue: Mechanical Reliability of Advanced Materials and Structures for Harsh Applications)

Computer Modeling in Engineering & Sciences 2022, 130(3), 1719-1735. https://doi.org/10.32604/cmes.2022.019140

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.

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Keywords

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