Path-following controller of a stratospheric satellite is designed under circumstances of wind currents utilization, parameter uncertainty, input value errors, and external disturbances. In order to reduce the energy consumption of the stratospheric satellite, the stratospheric east (west) wind currents are utilized by the stratospheric satellite to track the desired path. To utilize the wind currents, an air balloon as well as altitude control model are designed. Fuzzy disturbances observers are presented to estimate uncertainties and external disturbances. Input values are quantized by logarithmic quantizers. Rigorous stability analysis proves that path-following errors of the stratospheric satellite can be reduced to zero, and all closed-loop signals are uniformly bounded regardless of uncertainties and disturbances. Simulation results show that the stratospheric satellite can track the desired path well and the proposed control strategy can reduce the energy consumption of the stratospheric satellite effectively.
YangYWuJZhengW. Design, modeling and control for a stratospheric telecommunication platform. Acta Astronaut2012; 80: 181–189.
2.
VandermeulenIGuayMMclellanPJ. Distributed control of high-altitude balloon formation by extremum-seeking control. IEEE Trans Control Syst Technol2017; 26: 1–17.
3.
CatheyHM. Development overview of the revised NASA ultra long duration balloon. Adv Space Res2008; 42: 1624–1632.
4.
ZhengZChenTXuM, et al.Modeling and path-following control of a vector-driven stratospheric satellite. Adv Space Res2016; 57: 1901–1913.
5.
WuYWangCWangL, et al.Altitude control performance of a natural energy driven stratospheric aerostat. Adv Space Res2015; 56: 2508–2514.
6.
MorgadoJAbdollahzadehMSilvestreMAR, et al.High altitude propeller design and analysis. Aerosp Sci Technol2015; 45: 398–407.
7.
XuMHuoW. Orbit control of a stratospheric satellite with parameter uncertainties. Adv Space Res2016; 58: 2341–2351.
8.
Zhu S and Fu W. Establishing sail's 6-dof dynamics models. In: International conference on intelligent system design and engineering application 2012; 2: 683–686.
9.
FesenRBrownY. A method for establishing a long duration, stratospheric platform for astronomical research. Exp Astron2015; 39: 475–493.
10.
AzinheiraJRMoutinhoAPaivaECD. A backstepping controller for path-tracking of an underactuated autonomous airship. Int J Robust Nonlin Control2009; 19: 418–441.
11.
ChenLDuanDPSunDS. Design of a multi-vectored thrust aerostat with a reconfigurable control system. Aerosp Sci Technol2016; 53: 95–102.
12.
YangYYanY. Attitude regulation for unmanned quadrotors using adaptive fuzzy gain-scheduling sliding mode control. Aerosp Sci Technol2016; 54: 208–217.
13.
ChenLWhidborneJFDongQ, et al.Application of Lyapunov matrix inequality based unsymmetrical saturated control to a multi-vectored propeller airship. Proc IMechE, Part G: J Aerospace Engineering2017; 232: 884–901.
14.
WangYZhouPWangQ, et al.Reliable robust sampled-data h∞ output tracking control with application to flight control. Inform Technol Control2014; 43(2): 175–182.
15.
MaCZhangJ. On formability of linear continuous-time multi-agent systems. J Syst Sci Complex2012; 25: 13–29.
16.
ChenLZhouHWenYB, et al.Control of the horizontal position of a stratospheric airship during ascent and descent. Aeronaut J2015; 119: 523–541.
17.
YangXLiuD. Conceptual design of stratospheric airships focusing on energy balance. J Aerosp Eng2018; 31: 04017094.
18.
ZhengZHuoW. Planar path following control for stratospheric airship. IET Control Theory Appl2013; 7: 185–201.
19.
ZhengZHuoWWuZ. Autonomous airship path following control: theory and experiments. Control Eng Pract2013; 21: 769–788.
20.
ZhengZHuangYXieL, et al.Adaptive trajectory tracking control of a fully actuated surface vessel with asymmetrically constrained input and output. IEEE Trans Control Syst Technol2018; 26(5): 1851–1859.
21.
YangY. A time-specified nonsingular terminal sliding mode control approach for trajectory tracking of robotic airships. Nonlin Dyn2018; 92: 1–9.
22.
FossenTIPettersenKY. On uniform semiglobal exponential stability (USGES) of proportional line-of-sight guidance laws. Automatica2014; 50: 2912–2917.
23.
ZhengZYanKYuS, et al.Path following control for a stratospheric airship with actuator saturation. Trans Inst Meas Control2017; 39(7): 987–999.
24.
ZhengZZouY. Adaptive integral los path following for an unmanned airship with uncertainties based on robust RBFNN backstepping. ISA Trans2016; 65: 210.
25.
ZhengZSunLXieL. Error-constrained los path following of a surface vessel with actuator saturation and faults. IEEE Trans Syst Man Cybernet Syst2018; 48(10): 1794–1805.
26.
ZhengZXieL. Finite-time path following control for a stratospheric airship with input saturation and error constraint. Int J Control2019; 92: 368–393. DOI: 10.1080/00207179.2017.1357839.
27.
ZhengZSunL. Error-constrained path-following control for a stratospheric airship with actuator saturation and disturbances. Int J Syst Sci2017; 48(16): 3504–3521.
28.
YangYYanY. Backstepping sliding mode control for uncertain strict-feedback nonlinear systems using neural-network-based adaptive gain scheduling. J Syst Eng Electron2018; 29: 580–586.
29.
YangYYanY. Neural network approximation-based nonsingular terminal sliding mode control for trajectory tracking of robotic airships. Aerosp Sci Technol2016; 54: 192–197.
30.
MaCLiTZhangJ. Consensus control for leader-following multi-agent systems with measurement noises. J Syst Sci Complex2010; 23: 35–49.
31.
YangXLiuD. Renewable power system simulation and endurance analysis for stratospheric airships. Renew Energy2017; 113: 1070–1076.
32.
ChenSSongBWangH. Exploring optimum power unit of propulsion system for high altitude airship. Proc IMechE, Part G: J Aerospace Engineering2015; 229: 301–311.
33.
LiuLWangDPengZ. ESO-based line-of-sight guidance law for path following of underactuated marine surface vehicles with exact sideslip compensation. IEEE J Oceanic Eng2017; 42: 477–487.
