TY - JOUR
T1 - A novel nonlinear road profile classification approach for controllable suspension system
T2 - Simulation and experimental validation
AU - Qin, Yechen
AU - Wei, Chongfeng
AU - Tang, Xiaolin
AU - Zhang, Nong
AU - Dong, Mingming
AU - Hu, Chuan
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2019/6/15
Y1 - 2019/6/15
N2 - Driven by the increasing requirement for road conditions in the field of the controllable suspension system, this paper presents a novel nonlinear road-excitation classification procedure for arbitrary suspension control strategy. The proposed procedure includes four steps: the definition of controller parameters, selection of insensitive frequency ranges, calculation of superior features, and generation of the classifier. To better illustrate the proposed procedure, the clipped optimal control strategy is taken as an example in the simulation part. Simulation results reveal that the proposed method can accurately estimate road excitation level for various controller parameters, vehicle speeds, and vehicle models. Three contributions have been made in this paper: (1) A road classification procedure that can be used for road adaptive suspension control with any control algorithm is developed; (2) In order to improve classification accuracy, the concept of insensitive index which is based on the time-frequency analysis is proposed; (3) Experimental validation with a quarter vehicle test rig is performed, which has verified the effectiveness of the proposed method for the adaptive controllable suspension system.
AB - Driven by the increasing requirement for road conditions in the field of the controllable suspension system, this paper presents a novel nonlinear road-excitation classification procedure for arbitrary suspension control strategy. The proposed procedure includes four steps: the definition of controller parameters, selection of insensitive frequency ranges, calculation of superior features, and generation of the classifier. To better illustrate the proposed procedure, the clipped optimal control strategy is taken as an example in the simulation part. Simulation results reveal that the proposed method can accurately estimate road excitation level for various controller parameters, vehicle speeds, and vehicle models. Three contributions have been made in this paper: (1) A road classification procedure that can be used for road adaptive suspension control with any control algorithm is developed; (2) In order to improve classification accuracy, the concept of insensitive index which is based on the time-frequency analysis is proposed; (3) Experimental validation with a quarter vehicle test rig is performed, which has verified the effectiveness of the proposed method for the adaptive controllable suspension system.
KW - Controllable suspension system
KW - Nonlinear suspension system
KW - Road classification
KW - Time-frequency analysis
UR - http://www.scopus.com/inward/record.url?scp=85050091099&partnerID=8YFLogxK
U2 - 10.1016/j.ymssp.2018.07.015
DO - 10.1016/j.ymssp.2018.07.015
M3 - Article
AN - SCOPUS:85050091099
SN - 0888-3270
VL - 125
SP - 79
EP - 98
JO - Mechanical Systems and Signal Processing
JF - Mechanical Systems and Signal Processing
ER -