To assist vehicle rollover prevention and enhance vehicle roll motion safety, this paper proposes a novel active rollover preventer (ARPer) system, which consists of an in-wheel motor system moving along an orbit at the back of a vehicle. The roll and lateral dynamics of the vehicle equipped with the ARPer are modeled and mechanics analysis of the ARPer is presented as well. Based on the developed models, a Lyapunov nonlinear controller is designed for tracking a desired roll angle and a yaw rate when the impending rollover is detected. For a typical fishhook maneuver, two simulation cases are studied for different vehicle roof cargo loads, which represents different vehicle rollover properties without control. The CarSim®-Simulink co-simulation results show that compared with active front steering and differential braking control strategies, the APRer can successfully prevent the rollover propensity and maintain the vehicle lateral stability simultaneously.
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ASME 2017 Dynamic Systems and Control Conference
October 11–13, 2017
Tysons, Virginia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5827-1
PROCEEDINGS PAPER
Vehicle Rollover Prevention Through a Novel Active Rollover Preventer
Fengchen Wang,
Fengchen Wang
Arizona State University, Mesa, AZ
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Yan Chen
Yan Chen
Arizona State University, Mesa, AZ
Search for other works by this author on:
Fengchen Wang
Arizona State University, Mesa, AZ
Yan Chen
Arizona State University, Mesa, AZ
Paper No:
DSCC2017-5146, V001T45A005; 8 pages
Published Online:
November 14, 2017
Citation
Wang, F, & Chen, Y. "Vehicle Rollover Prevention Through a Novel Active Rollover Preventer." Proceedings of the ASME 2017 Dynamic Systems and Control Conference. Volume 1: Aerospace Applications; Advances in Control Design Methods; Bio Engineering Applications; Advances in Non-Linear Control; Adaptive and Intelligent Systems Control; Advances in Wind Energy Systems; Advances in Robotics; Assistive and Rehabilitation Robotics; Biomedical and Neural Systems Modeling, Diagnostics, and Control; Bio-Mechatronics and Physical Human Robot; Advanced Driver Assistance Systems and Autonomous Vehicles; Automotive Systems. Tysons, Virginia, USA. October 11–13, 2017. V001T45A005. ASME. https://doi.org/10.1115/DSCC2017-5146
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