4.7 Article

Robust Reset Speed Synchronization Control for an Integrated Motor-Transmission Powertrain System of a Connected Vehicle Under a Replay Attack

期刊

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
卷 70, 期 6, 页码 5524-5536

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2020.3020845

关键词

Delays; Robustness; Synchronization; Damping; Control systems; Time-varying systems; Oscillators; Integrated motor-transmission (IMT) powertrain; energy-to-peak robust control; reset control; attack-induced delays; replay attack

资金

  1. National Natural Science Foundation of China [U1664257, U1864201]
  2. Vehicle Power Specific Research Project of Fundamental Product Innovation Program [JCCPCX201704]
  3. National Key R&D Program of China [2018YFB0105900]
  4. 2025 Science and Technology Innovation Program of Ningbo [2019B10111]

向作者/读者索取更多资源

This paper addresses the speed synchronization control of a connected vehicle under a replay attack, proposing a robust reset controller and delay-robust speed synchronization controller to ensure the performance of the IMT system.
This paper deals with the speed synchronization control of a connected vehicle subject to a replay attack. A large number of replay attack signals are injected into controller area network (CAN) through external network, which greatly reduces the real-time control performance of a connected integrated motor-transmission (IMT) system. In order to ensure the performance of an IMT speed tracking system under large random message delays, a robust reset controller combined with a delay-robust speed synchronization controller satisfying energy-to-peak performance is designed in this paper. The uncertain impact caused by a replay attack is described by large random network delays which are modeled by polytopic inclusion. Then, a dynamic output-feedback controller considering the uncertainty caused by attack-delays is proposed for online speed tracking. Moreover, a robust reset controller is designed to obtain comparatively better transient response in the case of large attack-delays. In this control strategy, once the reset condition is triggered, the after-reset value calculated by linear matrix inequalities (LMIs) would replace the dynamic state vector. Finally, the effectiveness of the proposed controller is verified by comparing it with model predictive control (MPC), existing PD control considering delays and energy-to-peak robust control in terms of performance.

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