A composite controller design using an adaptive internal type-2 fuzzy logic system and the fixed-time disturbance observer for an air-breathing hypersonic vehicle with a variable geometry inlet
Restricted accessResearch articleFirst published online December, 2022
A composite controller design using an adaptive internal type-2 fuzzy logic system and the fixed-time disturbance observer for an air-breathing hypersonic vehicle with a variable geometry inlet
In this paper, a novel composite controller design technique is addressed for using an adaptive interval type-2 fuzzy logic system (FLS) with the fixed-time disturbance observer (FTDO) such that the enhanced tracking performance is achieved for an air-breathing hypersonic vehicle with a variable geometry inlet (AHV-VGI). First, introducing the variable geometry inlet to take proper mass flow into the engine without any flow spillage ensures enough thrust for acceleration and maneuvering flight. The interval type-2 FLS integrated with an adaptive control algorithm is derived to approximate the complicated nonlinear items in the control strategy online, which assures that the tracking error are semi-globally uniformly bounded. After that, the fixed-time disturbance observer that is constructed to provide the estimations of uncertainty including external disturbance leads to a more practical and robust flight control system for AHV-VGI. The uniform stability of the whole system is proved under the framework of Lyapunov theory. Finally, simulation results and analysis are presented to demonstrate the effectiveness of the proposed composite control scheme.
LiuYChenBLiY, et al.Overview of control-centric integrated design for hypersonic vehicles. Astrodynamics2018; 2(4): 307–324.
2.
BuXWWuXYYongYX, et al.Tracking differentiator design for the robust backstepping control of a flexible air-breathing hypersonic vehicle. J Franklin Inst2015; 352: 1739–1765. DOI: 10.1016/j.jfranklin.2015.01.014
3.
Ji-SongZJian-HongZShuangLI. Rapid and high-accuracy approach for hypersonic glide vehicle reentry trajectory optimization. J Astronautics2019; 40(9): 1034.
4.
GaoYWuHWangJ, et al.Feedback control design with vibration suppression for flexible air-breathing hypersonic vehicles. Sci China Ser F: Inf Sci2014; 57(3): 1–14.
5.
MacheretSShneiderMNMilesRB. Scramjet inlet control by off-body energy addition: A virtual cowl. AIAA J2004; 42(11): 2294–2302.
6.
RuddLVRankinsFPinesDJ. Moveable cowl control for increased hypersonic performance. American Institute of Aeronautics and Astronautics, 1998.
7.
LawrenceDHKennethEREdwardGR, et al.Hyper-x flight engine ground testing for x-43 flight risk reduction. J Spacecraft Rockets2001; 38(6): 844–852.
8.
DalleDTorrezSDriscollJ. Performance Analysis of Variable-Geometry Scramjet inlets Using a Low-Order Model. American Institute of Aeronautics and Astronautics, 2011.
9.
KojimaTTanatsuguNSatoT, et al.Development study on axisymmetric air inlet for atrex engine. In: 10th AIAA/NAL-NASDA-ISAS International Space Planes and Hypersonic Systems and Technologies Conference, 2001.
10.
KuranovASheikinE. Mhd control by external and internal flows in scramjet under ajax concept. In: 41st Aerospace Sciences Meeting and Exhibit, 2003.
11.
FalempinFSerreL. LEA Flight Test Program: Status in 2006, 2000.
12.
FalempinFScherrerDLaruelleG, et al.French Hypersonic Propulsion Program PREPHA - Results, Lessons and perspectives, 2013.
13.
MichaelBDavidD. A non-linear model for the longitudinal dynamics of a hypersonic air-breathing vehicle. In: AIAA Guidance, Navigation, and Control Conference and ExhibitAIAA Guidance, Navigation, and Control Conference and Exhibit, 2006. San Francisco, CA, pp. 15–18.
14.
BolenderMADomanDB. Nonlinear longitudinal dynamical model of an air-breathing hypersonic vehicle. J Spacecraft Rockets2007; 44(2): 374–387.
15.
WilliamsTBolenderMADomanDB. An Aerothermal Flexible Mode Analysis of a hypersonic Vehicle. An Aerothermal Flexible Mode Analysis of A Hypersonic Vehicle, 2006.
16.
BolenderMA. An Overview on Dynamics and controls Modelling of hypersonic Vehicles. Conference on American Control Conference IEEE Press, 2009, pp. 2507–2512.
17.
MirzaeiM. Optimal Feedback control Design for a hypersonic Reentry Vehicle. PhD Thesis. The Pennsylvania State UniversityThe Pennsylvania State University, 2019. DOI: 10.13140/RG.2.2.14080.17924
18.
DukemanG.. Profile-following entry guidance using linear quadratic regulator theory. In: AIAA Guidance, Navigation, and Control Conference and Exhibit, 2012, p. 4457.
19.
RyanKMLewisMJYuKH. Comparison of robust optimization methods applied to hypersonic vehicle design. J Aircraft2015; 52(5): 1510–1523.
20.
WieseDPAnnaswamyAMMuseJA, et al.Adaptive control of a generic hypersonic vehicle. AIAA Guidance, Navigation, and Control (GNC) Conference, 2013: 4515.
21.
GuoZZhouJGuoJ, et al.Coupling-characterization-based robust attitude control scheme for hypersonic vehicles. IEEE Trans Ind Electro2017; 64(8): 6350–6361. DOI: 10.1109/TIE.2017.2682031
22.
DouLSuPDingZ. Modeling and nonlinear control for air-breathing hypersonic vehicle with variable geometry inlet. Aerospace Sci Technol2017; 67: 422–432.
23.
GaoYLiuJWangZ, et al.Interval type-2 FNN-based quantized tracking control for hypersonic flight vehicles with prescribed performance. IEEE Trans Syst Man, Cybernetics: Syst2019; 99: 1–13.
24.
YuCJiangJWangS, et al.Fixed-time adaptive general type-2 fuzzy logic control for air-breathing hypersonic vehicle. Trans Inst Meas Control2021; 43(1): 2158.
25.
ZadehLA. The concept of a linguistic variable and its application to approximate reasoning—i. Inf Sci1975; 8(3): 199–249.
26.
NaikKAGuptaCPFernandezE. Advanced type-2 fuzzy logic–based pitch-angle control strategy for wind energy system. Wind Eng2019; 44(1): 92.
27.
ZhaoYWangJYanF, et al.Adaptive sliding mode fault-tolerant control for type-2 fuzzy systems with distributed delays. Inf Ences2018; 473: 227–238.
28.
TianBFanWSuR, et al.Real-time trajectory and attitude coordination control for reusable launch vehicle in reentry phase. IEEE Trans Ind Electro2015; 62(3): 1639–1650.
29.
ZongQWangJTianB, et al.Quasi-continuous high-order sliding mode controller and observer design for flexible hypersonic vehicle. Aerospace Sci Technol2013; 27(1): 127–137.
30.
MaoQDouLYangZ, et al.Fuzzy disturbance observer-based adaptive sliding mode control for reusable launch vehicles with aeroservoelastic characteristic. IEEE Trans Ind Inform2020; 16(2): 1214–1223.
31.
LiuHBaoWLiH, et al.Multivariable disturbance observer-based fuzzy fast terminal sliding mode attitude control for a hypersonic vehicle. J Aerospace Engineering2019; 32(2): 11.
32.
MuCNiZSunC, et al.Air-breathing hypersonic vehicle tracking control based on adaptive dynamic programming. IEEE Trans Neural Networks2017; 28(3): 584–598.
33.
HuXXuBHuC. Robust adaptive fuzzy control for HFV with parameter uncertainty and unmodeled dynamics. IEEE Trans Ind Electro2018; 65(11): 8851–8860.
34.
WangFHuaCZongQ. Novel smooth sliding mode attitude control design for constrained re-entry vehicle based on disturbance observer. Int J Syst Sci2019; 50(1): 75–90.
35.
LiuYFuYHeW, et al.Modeling and observer-based vibration control of a flexible spacecraft with external disturbances. IEEE Trans Ind Electro2019; 66(11): 8648–8658.
36.
LiuYGuoFHeX, et al.Boundary control for an axially moving system with input restriction based on disturbance observers. IEEE Trans Syst Man, Cybernetics: Syst2019; 49(11): 2242–2253.
37.
GuoZGuoJZhouJ, et al.Robust tracking for hypersonic re-entry vehicles via disturbance estimation-triggered control. IEEE Trans Aerospace Electron Syst2020; 56(2): 1279–1289. DOI: 10.1109/TAES.2019.2928605
38.
NguyenNPOhHKimY, et al.Finite-time disturbance observer-based modified super-twisting algorithm for systems with mismatched disturbances: Application to fixed-wing UAVS under wind disturbances. Int J Robust Nonlinear Control2021: 31: 7317–7343.
39.
ChenWHYangJGuoL, et al.Disturbance-observer-based control and related methods—an overview. IEEE Trans Ind Electro2016; 63(2): 1083–1095.
40.
PolyakovA. Nonlinear feedback design for fixed-time stabilization of linear control systems. IEEE Trans Automatic Control2012; 57(8): 2106–2110.
41.
PolyakovA. Fixed-time Stabilization of Linear Systems via Sliding Mode control. IEEE, 2012.
42.
PolyakovA. Fixed-time stabilization via second order sliding mode control. IFAC Proc Volumes2012; 45(9): 254–258.
43.
BasinMYuPShtesselYB. Finite- and fixed-time differentiators utilising hosm techniques. Iet Control Theor Appl2017; 11(8): 1144–1152.
44.
YuXLiPZhangY. Fixed-time actuator fault accommodation applied to hypersonic gliding vehicles. IEEE Trans Automation Sci Eng2020; 99: 1–12.
45.
ZuoZTianBDefoortM, et al.Fixed-time consensus tracking for multi-agent systems with high-order integrator dynamics. IEEE Trans Automatic Control2017; 99.
46.
MaDXiaYShenG, et al.Practical fixed-time disturbance rejection control for quadrotor attitude tracking. IEEE Trans Ind Electro2020; 99(1).
47.
DouLSuPZongQ, et al.Fuzzy disturbance observer-based dynamic surface control for air-breathing hypersonic vehicle with variable geometry inlets. Iet Control Theor Appl2018; 12(1): 10–19.
48.
FiorentiniLSerraniABolenderMA, et al.Nonlinear robust adaptive control of flexible air-breathing hypersonic vehicles. J Guidance Control Dyn2009; 32(2): 402–417.
49.
WangLX. Adaptive Fuzzy Systems and Control: Design and Stability Analysis. USA: Prentice-Hall, 1994.
