TY - JOUR
T1 - Cascaded Steering Control Paradigm for the Lateral Automation of Heavy Commercial Vehicles
AU - Xu, Tao
AU - Liu, Yulong
AU - Cao, Xuanhao
AU - Ji, Xuewu
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - The nonlinearity and complexity of the lateral dynamics of heavy commercial vehicles (HCVs) and their steering subsystems usually pose considerable challenges in realizing automatic lateral control for HCVs. In this article, a novel cascade control paradigm is presented for the automatic lateral guidance control of HCVs, which is equipped with an electrohydraulic coupling power steering (EHCPS) system. The objective is to propose a control framework for the satisfactory trajectory tracking performance of HCVs. This control framework consists of an outer vehicle chassis dynamics controller and an inner steering controller, which are implemented to mitigate the issues associated with the trajectory tracking process due to the intrinsic parameter-varying nonlinearity of the vehicle lateral dynamics model and the steering tracking process caused by the complex mapping relationship between the steering wheel angle input and front wheel angle output, respectively. Using the linear parameter-varying (LPV) technique as a general framework, an outer loop controller is designed to produce the desired front wheel angle, which features a gain scheduling mechanism to cope with the time-varying longitudinal velocity. Based on the analysis of the simplified physical model of the EHCPS system, a feedforward set-point scheduling inner loop controller with sliding-mode observer (SMO) is proposed to ensure good tracking performance of the front wheel angle for the steering subsystem. Through experimentation, conducted on the hardware-in-the-loop (HIL) test platform for HCV automatic lateral control, the feasibility and effectiveness of the proposed cascade steering control paradigm are demonstrated.
AB - The nonlinearity and complexity of the lateral dynamics of heavy commercial vehicles (HCVs) and their steering subsystems usually pose considerable challenges in realizing automatic lateral control for HCVs. In this article, a novel cascade control paradigm is presented for the automatic lateral guidance control of HCVs, which is equipped with an electrohydraulic coupling power steering (EHCPS) system. The objective is to propose a control framework for the satisfactory trajectory tracking performance of HCVs. This control framework consists of an outer vehicle chassis dynamics controller and an inner steering controller, which are implemented to mitigate the issues associated with the trajectory tracking process due to the intrinsic parameter-varying nonlinearity of the vehicle lateral dynamics model and the steering tracking process caused by the complex mapping relationship between the steering wheel angle input and front wheel angle output, respectively. Using the linear parameter-varying (LPV) technique as a general framework, an outer loop controller is designed to produce the desired front wheel angle, which features a gain scheduling mechanism to cope with the time-varying longitudinal velocity. Based on the analysis of the simplified physical model of the EHCPS system, a feedforward set-point scheduling inner loop controller with sliding-mode observer (SMO) is proposed to ensure good tracking performance of the front wheel angle for the steering subsystem. Through experimentation, conducted on the hardware-in-the-loop (HIL) test platform for HCV automatic lateral control, the feasibility and effectiveness of the proposed cascade steering control paradigm are demonstrated.
KW - Automated heavy commercial vehicle (HCV)
KW - hardware-in-the-loop (HIL) implementation
KW - lateral control
KW - steering actuator control
UR - http://www.scopus.com/inward/record.url?scp=85121365161&partnerID=8YFLogxK
U2 - 10.1109/TTE.2021.3134023
DO - 10.1109/TTE.2021.3134023
M3 - Article
AN - SCOPUS:85121365161
SN - 2332-7782
VL - 8
SP - 2346
EP - 2360
JO - IEEE Transactions on Transportation Electrification
JF - IEEE Transactions on Transportation Electrification
IS - 2
ER -