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Robustness study of the road profile estimation technique under uncertainty

Ben Jdidia Anoire, Ben Hassen Dorra, Hentati Taissir, Abbes Slim, Haddar Mohamed

Journal of Theoretical and Applied Mechanics

2022

Vol. 60 nr 3

521--533

This paper studies profile estimation a road. The prediction has been achieved using the Independent Component Analysis Method (ICA). The vehicle dynamic responses were cal- culated for different road profiles which were defined using an ISO norm. The robustness of this method was proven by implementing the stochastic Monte Carlo (MC) technique in the presence of inevitable uncertainty parameters simultaneously associated with the vehicle mass, spring stiffness and damping for different vehicle speeds and wind values. Convergence was assessed when comparing real profiles to simulated ones. The obtained results prove the efficiency of the ICA in estimating the profile variabilities under uncertainties.

Road profile identification using estimation techniques: comparison between independent component analysis and Kalman filter

Chaabane Mariem Miladi, Ben Hassen Dorra, Abbes Mohamed Slim, Baslamisli Selahattin Caglar, Chaari Fakher, Haddar Mohamed

Journal of Theoretical and Applied Mechanics

2019

Vol. 57 nr 2

397--409

This paper focuses on the identification of a road profile disturbance acting on vehicles. Vehicles are subjected to many kinds of excitation sources such as road profile irregularities, which constitute a major area of interest when designing suspension systems. Indeed, determining the road profile is important for passive suspension design on the one hand and for determining an appropriate control law for active suspensions on the other. Direct measurement techniques of the road profile are expensive, so solutions based on estimation theory are needed. The aim of this paper is to characterize the road excitation using the Independent Component Analysis (ICA). This proposed method can reconstruct original excitation sources by using physically measurable signals of the system under study. Here, the estimation of road disturbances is considered as output sources and identified from dynamic responses of the vehicle. These responses can be measured via sensors or can be numerically computed. In our case, they are numerically simulated using the Newmark method and consider different types of road profiles. The obtained results are validated after using a comparison with the Kalman filtering. The robustness of the ICA is confirmed via parametric study.