TY - GEN
T1 - Control Barrier Function Based Three-Channel Coupling Control of Air-Breathing Hypersonic Vehicle with AoA Constraint
AU - Huang, Jingyao
AU - Liu, Jiaolong
AU - Guo, Hang
AU - Fu, Wenxing
N1 - Publisher Copyright:
© Beijing HIWING Scientific and Technological Information Institute 2025.
PY - 2025
Y1 - 2025
N2 - The Air-breathing Hypersonic Vehicle (AHV) is characterized by high nonlinearity, strong coupling, and inherent uncertainties. To ensure the safe operation of the Scramjet, a stringent constraint on the Angle of Attack (AoA) is imperative. We introduce an innovative three-channel coupled control approach for the AHV that incorporates the AoA constraint. An Incremental Nonlinear Dynamic Inversion (INDI) controller is formulated to address model uncertainty, while the non-minimum phase challenge is mitigated through output redefinition and poles placement. Additionally, an Exponential Control Barrier Function (ECBF) tailored for the AoA constraint is developed and integrated with the INDI within a Quadratic Programming (QP) framework, termed INDI-CBF-QP. Simulation results demonstrate that our proposed method not only tracks longitudinal load and roll angle commands swiftly and stably but also achieves a reduced angle of sideslip compared to traditional, decoupled designs. Moreover, it maintains the critical AoA constraint even in the presence of significant model parameter uncertainty.
AB - The Air-breathing Hypersonic Vehicle (AHV) is characterized by high nonlinearity, strong coupling, and inherent uncertainties. To ensure the safe operation of the Scramjet, a stringent constraint on the Angle of Attack (AoA) is imperative. We introduce an innovative three-channel coupled control approach for the AHV that incorporates the AoA constraint. An Incremental Nonlinear Dynamic Inversion (INDI) controller is formulated to address model uncertainty, while the non-minimum phase challenge is mitigated through output redefinition and poles placement. Additionally, an Exponential Control Barrier Function (ECBF) tailored for the AoA constraint is developed and integrated with the INDI within a Quadratic Programming (QP) framework, termed INDI-CBF-QP. Simulation results demonstrate that our proposed method not only tracks longitudinal load and roll angle commands swiftly and stably but also achieves a reduced angle of sideslip compared to traditional, decoupled designs. Moreover, it maintains the critical AoA constraint even in the presence of significant model parameter uncertainty.
KW - Air-breathing Hypersonic Vehicle
KW - Constraint of Angle of Attack
KW - Control Barrier Function
KW - Non-Linear Dynamic Inversion
UR - http://www.scopus.com/inward/record.url?scp=105003150072&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-3568-9_27
DO - 10.1007/978-981-96-3568-9_27
M3 - 会议稿件
AN - SCOPUS:105003150072
SN - 9789819635672
T3 - Lecture Notes in Electrical Engineering
SP - 284
EP - 294
BT - Proceedings of 4th 2024 International Conference on Autonomous Unmanned Systems, 4th ICAUS 2024
A2 - Liu, Lianqing
A2 - Niu, Yifeng
A2 - Fu, Wenxing
A2 - Qu, Yi
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th International Conference on Autonomous Unmanned Systems, ICAUS 2024
Y2 - 19 September 2024 through 21 September 2024
ER -