This paper proposes an intelligent allocation-based adaptive controller for the longitudinal motion of air-breathing hypersonic vehicles (AHVs). A control-allocation (CA) module is developed to deal with composite actuator servo constraints that have usually been neglected in existing AHV control works. This CA process is realized with the help of the recent deep deterministic policy gradient algorithm without involving any online optimization. In the followed adaptive controller design, several auxiliary signals are constructed to compensate for the possible CA error, while adaptive super-twist differentiators are employed to fast estimate the lumped effect of uncertain aerodynamic coefficients and unknown external disturbances. As a result, the adaptive control algorithm only needs three parameter updating laws, whose dimension is much lower than traditional adaptive control strategies for AHVs. Simulations are provided to verify the proposed intelligent allocation-based adaptive controller.
PeeblesC. Road to mach 10: lessons learned from the X-43A flight research Program. Reston, Virginia, USA: AIAA, 2008.
2.
LiuYChenBLiY, et al.Overview of control-centric integrated design for hypersonic vehicles. Astrodynamics2018; 2(4): 307–324. DOI: 10.1007/s42064-018-0027-8
3.
FiorentiniLSerraniABolenderM, et al.Nonlinear robust adaptive control of flexible air-breathing hypersonic vehicles. J Guid Control Dyn2009; 32(2): 402–417. DOI: 10.2514/1.39210
4.
FiorentiniLSerraniA. Adaptive restricted trajectory tracking for a non-minimum phase hypersonic vehicle model. Automatica2012; 48: 1248–1261. DOI: 10.1016/j.automatica.2012.04.006
5.
AnHWuQWangG, et al.Adaptive compound control of air-breathing hypersonic vehicles. IEEE Trans Aerosp Electron Syst2020; 56(6): 4519–4532. DOI: 10.1109/TAES.2020.2999149
6.
WieseDAnnaswamyAMuseJ, et al.Adaptive output feedback based on closed-loop reference models for hypersonic vehicles. J Guid Control Dyn2015; 38(12): 2429–2440. DOI: 10.2514/1.G001098.
7.
BanerjeeSWangZBaurB, et al.L1 Adaptive control augmentation for the longitudinal dynamics of a hypersonic glider. J Guid Control Dyn2016; 39(2): 275–291. DOI: 10.2514/1.G001113
8.
SaglianoMMooijETheilS. Adaptive disturbance-based high-order sliding-mode control for hypersonic-entry vehicles. J Guid Control Dyn2017; 40(3): 521–536. DOI: 10.2514/1.G000675
9.
KrsticMKanellakopoulosIKokotovicP. Nonlinear and adaptive control design. New Jersey, USA: Wiley, 1995.
10.
AnHWuQWangC, et al.Scramjet operation guaranteed longitudinal control of air-breathing hypersonic vehicles. IEEE ASME Trans Mechatron2020; 25(6): 2587–2598. DOI: 10.1109/TMECH.2020.2983521
11.
SunJSongSWuG. Fault-tolerant track control of hypersonic vehicle based on fast terminal sliding mode. J Spacecr Rockets2017; 54(6): 1304–1316. DOI: 10.2514/1.A33890
12.
AnHLiuJWangC, et al.Disturbance observer-based antiwindup control for air-breathing hypersonic vehicles. IEEE Trans Ind Electron2016; 63(5): 3038–3049. DOI: 10.1109/TIE.2016.2516498
13.
XuBWangDZhangY, et al.DOB based neural control of flexible hypersonic flight vehicle considering wind effects. IEEE Trans Ind Electron2017; 64(11): 8676–8685. DOI: 10.1109/TIE.2017.2703678
14.
HirschelEWeilandC. Selected aerothermodynamic design problems of hypersonic flight vehicles. Berlin, Germany: Springer Science and Business Media, 2009. DOI: 10.2514/4.479908
15.
HuQMengY. Adaptive backstepping control for air-breathing hypersonic vehicle with actuator dynamics. Aerosp Sci Technol2017; 67: 412–421. DOI: 10.1016/j.ast.2017.04.022
16.
QinWHeBLiuG, et al.Robust model predictive tracking control of hypersonic vehicles in the presence of actuator constraints and input delays. J Franklin Inst2016; 17(353): 4351–4367. DOI: 10.1016/j.jfranklin.2016.08.007
17.
AnHWangC. Optimizing allocation-based hypersonic flight control with actuator dynamics and constraints. J Spacecr Rockets2022; 59(1): 73–83. DOI: 10.2514/1.A34868
18.
JohansenTFossenT. Control allocation–a survey. Automatica2013; 49(5): 1087–1103. DOI: 10.1016/j.automatica.2013.01.035
19.
SkujinsTCesnikCOppenheimerM, et al.Canard-elevon interactions on a hypersonic vehicle. J Spacecr Rockets2010; 47(1): 90–100. DOI: 10.2514/1.44743
20.
QianJQiRJiangB. Fault-tolerant guidance and control design for reentry hypersonic flight vehicles based on control-allocation approach. In: Proceedings of Chinese guidance, navigation and control conference, Yantai, China, 08–10 August 2014: IEEE, pp. 1624–1629. DOI: 10.1109/CGNCC.2014.7007434
21.
JinJ. Modified pseudoinverse redistribution methods for redundant controls allocation. J Guid Control Dyn2005; 28(5): 1076–1079. DOI: 10.2514/1.14992
22.
DucardG. Fault-tolerant flight control and guidance systems: practical methods for small unmanned aerial vehicles. Berlin, Germany: Springer Science and Business Media, 2009.
AlabsiMFieldsT. Flight controller learning based on real-time model estimation of a quadrotor aircraft. Proc Inst Mech Eng G J Aerosp Eng2018; 233(9): 3298–3312. DOI: 10.1177/0954410018795524
25.
ChengLJiangFWangZ, et al.Multiconstrained real-time entry guidance using deep neural networks. IEEE Trans Aerosp Electron Syst2021; 57(1): 325–340. DOI: 10.1109/TAES.2020.3015321
26.
QiuXGaoCJingW. Maneuvering penetration strategies of ballistic missiles based on deep reinforcement learning. Proc Inst Mech Eng G J Aerosp Eng2022; 236: 3494–3504. DOI: 10.1177/09544100221088361
27.
YuYWangHLiN. Fault-tolerant control for over-actuated hypersonic reentry vehicle subject to multiple disturbances and actuator faults. Aerosp Sci Technol2019; 87: 230–243. DOI: 10.1016/j.ast.2019.02.024
28.
LillicrapTHuntJPritzelAet al. Continuous control with deep reinforcement learning. International conference on learning representations. San Juan, Puerto Rico: 4th International Conference on Learning Representations, 2016.
29.
BolenderMDomanD. Nonlinear longitudinal dynamical model of an air-breathing hypersonic vehicle. J Spacecr Rockets2007; 44(2): 374–387. DOI: 10.2514/1.23370
30.
PrellerDSmartM. Longitudinal control strategy for hypersonic accelerating vehicles. J Spacecr Rockets2015; 52(3): 993–999. DOI: 10.2514/6.2013-5238
31.
ZinneckerASerraniABolenderM, et al.Combined reference governor and anti-windup design for constrained hypersonic vehicles models. In: AIAA guidance, navigation, and control conference, Chicago, Illinois, 10–13 August 2009: AIAA 2009–6283, pp. 1–20. DOI: 10.2514/6.2009-6283
32.
AlwiHEdwardsC. An adaptive sliding mode differentiator for actuator oscillatory failure case reconstruction. Automatica2013; 49(2): 642–651. DOI: 10.1016/j.automatica.2012.11.042
33.
PolycarpouMIoannouP. A robust adaptive nonlinear control design. American control conference. Yantai, China, San Francisco, CA, USA: IEEE, 1993, pp. 1365–1369, doi:10.23919/ACC.1993.4793094.
34.
AnHLiuJWangC, et al.Approximate back-stepping fault-tolerant control of the flexible air-breathing hypersonic vehicle. IEEE ASME Trans Mechatron2016; 21(3): 1680–1691. DOI: 10.1109/TMECH.2015.2507186
35.
BaumannEPahleJDavisM, et al.X-43A flush airdata sensing system flight-test results. J Spacecr Rockets2010; 47(1): 48–61. DOI: 10.2514/1.41163
