학술논문

Analysis and Design of Direct Yaw-Moment Control for Distributed Drive Electric Vehicles Considering Replay Attacks
Document Type
Conference
Source
2023 8th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Intelligent Robot Systems (ACIRS), 2023 8th Asia-Pacific Conference on. :100-106 Jul, 2023
Subject
Robotics and Control Systems
Upper bound
Uncertainty
Regulators
Tracking
Simulation
Drives
Electric vehicles
Distributed drive electric vehicles (DDEVs)
Direct yaw-moment control (DYC)
Replay attack
Network-induced delays
$H_{\infty}$ based linear quadratic regulator $(H_{\infty}-LQR)$
Language
Abstract
In this paper, the lateral motion control problem of distributed drive electric vehicles (DDEVs) under the coupling effects of large random attack-induced delays is studied. The external interface assembled in intelligent connected vehicles (ICVs) makes the in-vehicle controller area network (CAN) more vulnerable to cyber-attack, which negatively impact real-time control performance and stability. Based on the notion of multi-hop loop delay, the delay composition of direct yaw-moment control (DYC) under replay attack is analyzed in detail and its upper bound formula is derived based on reasonable analysis. Furthermore, the polytopic inclusion technique based on Tylor series expansion is used to describe network uncertainty, and a delay-tolerant linear quadratic regulator (LQR) method based on $H_{\infty}$ is adopted for robust tracking control. Finally, simulation results based on hardware-in-loop (HIL) experiment indicate that proposed analysis and control scheme can deal with the negative effects of replay attack and ensure reliable vehicle dynamics performance.