TY - GEN
T1 - Research on Lateral-Longitudinal Coupling Trajectory Tracking Control Method for Bilateral Electric Drive Tracked Vehicle
AU - Lu, Jiaxing
AU - Liu, Haiou
AU - Li, Derun
AU - Guan, Haijie
AU - Li, Zhiwei
AU - Tang, Zeyue
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - To improve the trajectory tracking accuracy of a tracked vehicle with a bilateral electric drive power system, a lateral-longitudinal coupling trajectory tracking control method is proposed in this paper. Firstly, the longitudinal reference speed sequence is generated by an iterative algorithm with consideration of rollover and sideslip constraints. Based on the model predictive control (MPC) method, reference speed, kinematic model of the tracked vehicle, and dynamic constraints, a lateral-longitudinal coupling trajectory tracker is established to solve the motor speed control command on both sides. According to the ROS-VREP co-simulation test, the path tracking accuracy of the proposed control method is improved by 28.49% and 43.75% under the steering conditions of small curvature and large curvature, compared with the decoupling control method, respectively. In addition, the vehicle presents higher driving stability without sacrificing time cost. The algorithm is tested on the actual vehicle platform, and the results are compared with the simulation tests. It is observed that the accuracy is roughly the same, while the error is within an acceptable range.
AB - To improve the trajectory tracking accuracy of a tracked vehicle with a bilateral electric drive power system, a lateral-longitudinal coupling trajectory tracking control method is proposed in this paper. Firstly, the longitudinal reference speed sequence is generated by an iterative algorithm with consideration of rollover and sideslip constraints. Based on the model predictive control (MPC) method, reference speed, kinematic model of the tracked vehicle, and dynamic constraints, a lateral-longitudinal coupling trajectory tracker is established to solve the motor speed control command on both sides. According to the ROS-VREP co-simulation test, the path tracking accuracy of the proposed control method is improved by 28.49% and 43.75% under the steering conditions of small curvature and large curvature, compared with the decoupling control method, respectively. In addition, the vehicle presents higher driving stability without sacrificing time cost. The algorithm is tested on the actual vehicle platform, and the results are compared with the simulation tests. It is observed that the accuracy is roughly the same, while the error is within an acceptable range.
KW - Lateral-longitudinal coupling
KW - Model predictive control
KW - Speed planning
KW - Tracked vehicle
KW - Trajectory tracking
UR - http://www.scopus.com/inward/record.url?scp=85128028375&partnerID=8YFLogxK
U2 - 10.1109/CAC53003.2021.9727728
DO - 10.1109/CAC53003.2021.9727728
M3 - Conference contribution
AN - SCOPUS:85128028375
T3 - Proceeding - 2021 China Automation Congress, CAC 2021
SP - 3235
EP - 3240
BT - Proceeding - 2021 China Automation Congress, CAC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 China Automation Congress, CAC 2021
Y2 - 22 October 2021 through 24 October 2021
ER -