In this paper, a hierarchical input-output decoupling controller is proposed to simultaneously prevent vehicle rollover and keep the input-output stability of vehicle planar motion. A four-degree-of-freedom nonlinear vehicle dynamics model with four-wheel steering (4WS) and four in-wheel motors (4IWMs) is first developed. Then, in the high-level control design, the roll dynamics is decoupled from the planar motion using the general longitudinal and lateral forces. The decoupled roll dynamics is proved to perform as a linear system with an exponentially stable equilibrium. Moreover, the general yaw moment is also determined in the high-level control through the input-output stability analysis for tracking a yaw rate reference. In the low-level control design, the active 4WS control and direct yaw moment control are applied through a control allocation method to satisfy and distribute the virtual control obtained from the high-level control. Demonstrated by co-simulations integrating with CarSim® and MATLAB/Simulink®, the proposed hierarchical input-output decoupling control can successfully prevent the impending rollover and stabilize the vehicle planar motion.
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ASME 2018 Dynamic Systems and Control Conference
September 30–October 3, 2018
Atlanta, Georgia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5189-0
PROCEEDINGS PAPER
Hierarchical Input-Output Decoupling Control for Vehicle Rollover Mitigation
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:
DSCC2018-9166, V001T09A005; 8 pages
Published Online:
November 12, 2018
Citation
Wang, F, & Chen, Y. "Hierarchical Input-Output Decoupling Control for Vehicle Rollover Mitigation." Proceedings of the ASME 2018 Dynamic Systems and Control Conference. Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mechatronics and Physical Human Robot Interaction; Biomedical and Neural Systems; Biomedical and Neural Systems Modeling, Diagnostics, and Healthcare. Atlanta, Georgia, USA. September 30–October 3, 2018. V001T09A005. ASME. https://doi.org/10.1115/DSCC2018-9166
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