TY - GEN
T1 - A Novel Trust-Based Shared Steering Control for Automated Vehicles with Tire Blowout
AU - Li, Ao
AU - Chen, Yan
AU - Lin, Wen Chiao
AU - Du, Xinyu
N1 - Publisher Copyright:
© 2023 American Automatic Control Council.
PY - 2023
Y1 - 2023
N2 - Tire blowout strongly affects vehicle stability and road safety by introducing sudden and intensive tire force disturbances. In such an emergent event, vehicles equipped with an automatic controller for normal path following (i.e., SAE driving automation level 2/3) may have degraded performance, which requires cooperation with a human driver. Considering a panicked driver could perform improper or wrong operations, this paper proposes a novel trust-based shared steering control for vehicle stabilization after tire blowout. Based on specific and crucial factors in tire blowout events, the driver's steering input and the resulting driver's fault and performance are comprehensively evaluated in a designed controller-to-human (C2H) trust module. The real-time computational trust simultaneously adjusts the cooperative level in a dynamic control authority allocation function. Matlab/Simulink and CarSim® co-simulation results validate that the proposed shared control can effectively enhance vehicle stability and driving safety after tire blowout, even with the faulty and excessive steering inputs from a panicked driver.
AB - Tire blowout strongly affects vehicle stability and road safety by introducing sudden and intensive tire force disturbances. In such an emergent event, vehicles equipped with an automatic controller for normal path following (i.e., SAE driving automation level 2/3) may have degraded performance, which requires cooperation with a human driver. Considering a panicked driver could perform improper or wrong operations, this paper proposes a novel trust-based shared steering control for vehicle stabilization after tire blowout. Based on specific and crucial factors in tire blowout events, the driver's steering input and the resulting driver's fault and performance are comprehensively evaluated in a designed controller-to-human (C2H) trust module. The real-time computational trust simultaneously adjusts the cooperative level in a dynamic control authority allocation function. Matlab/Simulink and CarSim® co-simulation results validate that the proposed shared control can effectively enhance vehicle stability and driving safety after tire blowout, even with the faulty and excessive steering inputs from a panicked driver.
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U2 - 10.23919/ACC55779.2023.10156182
DO - 10.23919/ACC55779.2023.10156182
M3 - Conference contribution
AN - SCOPUS:85167790835
T3 - Proceedings of the American Control Conference
SP - 1129
EP - 1134
BT - 2023 American Control Conference, ACC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 American Control Conference, ACC 2023
Y2 - 31 May 2023 through 2 June 2023
ER -