TY - GEN
T1 - DOS-Robust Dynamic Speed Tracking Controller for an Integrated Motor-Gearbox Powertrain System of a Connected Car
AU - Li, Xiang
AU - Xu, Xiangyang
AU - Zhang, Hui
AU - Dong, Peng
AU - Liu, Yue
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - This paper deals with the speed tracking control for a connected vehicle with an integrated motor transmission (IMT) powertrain system subject to a denial of service (DOS) attack. For a pure electric vehicle (PEV) with an IMT powertrain system, ensuring speed synchronization is a basic and important control requirement. Connected cars have considerable advantages. However, the in-vehicle controller area network (CAN) connected the external networks will bring network attack (e.g., DOS attack), which may greatly reduce the performance of the control system. To address these problems, a DOS-induced delay model and a dynamic output-feedback robust controller satisfying energy-to-peak performance is designed in this paper. The impact of a DOS attack on the control system is described by CAN message delays which are modeled by polytopic inclusions using Taylor series expansion. Then, a linear parameter varying (LPV) dynamic closed-loop control augmentation model in discrete-time frame considering time-varying delays is established. Furthermore, a dynamic output-feedback robust controller satisfying energy-to-peak performance is designed and the gains is calculated offline by solving a set of linear matrix inequalities (LMIs). Finally, the dynamic controller gains are used for the online step, and the speed tracking performance and oscillation damping capability of the proposed controller is demonstrated by some experiments and compared with a conventional PI controller which is the most widely used controller in engineering.
AB - This paper deals with the speed tracking control for a connected vehicle with an integrated motor transmission (IMT) powertrain system subject to a denial of service (DOS) attack. For a pure electric vehicle (PEV) with an IMT powertrain system, ensuring speed synchronization is a basic and important control requirement. Connected cars have considerable advantages. However, the in-vehicle controller area network (CAN) connected the external networks will bring network attack (e.g., DOS attack), which may greatly reduce the performance of the control system. To address these problems, a DOS-induced delay model and a dynamic output-feedback robust controller satisfying energy-to-peak performance is designed in this paper. The impact of a DOS attack on the control system is described by CAN message delays which are modeled by polytopic inclusions using Taylor series expansion. Then, a linear parameter varying (LPV) dynamic closed-loop control augmentation model in discrete-time frame considering time-varying delays is established. Furthermore, a dynamic output-feedback robust controller satisfying energy-to-peak performance is designed and the gains is calculated offline by solving a set of linear matrix inequalities (LMIs). Finally, the dynamic controller gains are used for the online step, and the speed tracking performance and oscillation damping capability of the proposed controller is demonstrated by some experiments and compared with a conventional PI controller which is the most widely used controller in engineering.
KW - connected cars
KW - denial of service (DOS)
KW - dynamic output-feedback controller
KW - linear matrix inequalities (LMIs)
UR - https://www.scopus.com/pages/publications/85078788462
U2 - 10.1109/CVCI47823.2019.8951593
DO - 10.1109/CVCI47823.2019.8951593
M3 - 会议稿件
AN - SCOPUS:85078788462
T3 - 3rd Conference on Vehicle Control and Intelligence, CVCI 2019
BT - 3rd Conference on Vehicle Control and Intelligence, CVCI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd Conference on Vehicle Control and Intelligence, CVCI 2019
Y2 - 21 September 2019 through 22 September 2019
ER -