가우스-마르코프 프로세스 기반 랜덤 도로 조도 측정

Abstract

This paper presents the characterization of a random road roughness based on the direct measurements of the road roughness using a laser-type displacement sensor. A road profile is typically classified by its wavelength into micro texture, macro texture, mega texture, and road roughness. Since the road roughness acts as the disturbance input to the suspension system, it is essential to characterize the properties of the road roughness for analyzing the ride quality and handling the characteristics of the vehicle. To model the interaction between the tire and road excitation, the road roughness is assumed as the Gauss–Markov process in this study. The measurement results of the road roughness show how the road surface can act as a disturbance input to the vehicle suspension systems, and a good agreement with the Gauss–Markov process. The road roughness model based on the Gauss–Markov process can be utilized for Monte Carlo simulation and the process noise modeling of discrete Kalman filter in the suspension system.