TY - GEN
T1 - Guaranteed vehicle safety control using control-dependent barrier functions
AU - Huang, Yiwen
AU - Yong, Sze Zheng
AU - Chen, Yan
PY - 2019/7
Y1 - 2019/7
N2 - How to guarantee the safety of autonomous ground vehicles is still a significant challenge, although different active safety control systems have been developed, including techniques based on controlled invariant sets and control barrier functions (CBF) that have been proven to guarantee the safety of dynamic systems. To apply these techniques to vehicle safety control, we regarded an estimated lateral stability region of a vehicle as a controlled invariant set. However, the stability region was found to vary with respect to the system control input, which is normally the steering angle. Therefore, the existing definition of the controlled invariant set, which is independent of control inputs, may not be applicable. In this paper, the definition of a controlled invariant set is extended to a control-dependent invariant set, so that the controlled invariant set can vary with control inputs. Based on the extended definition, a new invariance condition using control-dependent barrier function (CDBF) is proposed and applied to the guaranteed vehicle safety control problem. Finally, the guaranteed vehicle safety control is demonstrated by simulation results.
AB - How to guarantee the safety of autonomous ground vehicles is still a significant challenge, although different active safety control systems have been developed, including techniques based on controlled invariant sets and control barrier functions (CBF) that have been proven to guarantee the safety of dynamic systems. To apply these techniques to vehicle safety control, we regarded an estimated lateral stability region of a vehicle as a controlled invariant set. However, the stability region was found to vary with respect to the system control input, which is normally the steering angle. Therefore, the existing definition of the controlled invariant set, which is independent of control inputs, may not be applicable. In this paper, the definition of a controlled invariant set is extended to a control-dependent invariant set, so that the controlled invariant set can vary with control inputs. Based on the extended definition, a new invariance condition using control-dependent barrier function (CDBF) is proposed and applied to the guaranteed vehicle safety control problem. Finally, the guaranteed vehicle safety control is demonstrated by simulation results.
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U2 - 10.23919/acc.2019.8814761
DO - 10.23919/acc.2019.8814761
M3 - Conference contribution
AN - SCOPUS:85072287097
T3 - Proceedings of the American Control Conference
SP - 983
EP - 988
BT - 2019 American Control Conference, ACC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 American Control Conference, ACC 2019
Y2 - 10 July 2019 through 12 July 2019
ER -