Design and Control of a Hand-Launched Fixed-Wing Unmanned Aerial Vehicle

被引:8
作者
Lu, Xinjiang [1 ]
Li, Zenghui [1 ]
Xu, Jie [1 ]
机构
[1] Cent South Univ, Sch Mech & Elect Engn, State Key Lab High Performance Complex Mfg, Changsha 410083, Peoples R China
基金
中国国家自然科学基金;
关键词
Aircraft; Aerospace control; Atmospheric modeling; Mathematical models; Couplings; Complexity theory; Robustness; Extended state observer (ESO); fixed wing; modeling; robust control; unmanned aerial vehicle (UAV); SLIDING MODE CONTROL; ACTUATOR; UAV;
D O I
10.1109/TII.2022.3167840
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to address the flexible requirements on load, flight speed, and maneuverability in actual flight conditions, a hand-launched fixed-wing unmanned aerial vehicle (UAV) is designed with high performance in portability, lightweight, and maneuverability. On this basis, a novel system-decomposition-based robust control method is proposed to achieve a satisfactory control performance for this designed UAV under internal/external uncertainties. First, considering the feature that the coupling terms are usually small in most flight conditions and may be regarded as disturbance, the complex flight system is decomposed into a group of simple subsystems with disturbance, namely, roll-yaw subsystem, pitch-altitude subsystem, and airspeed subsystem. Since the complexity of each subsystem is much smaller than the original system, this will reduce the difficulty of the controller design and complexity of the controller. Besides, to improve the tracking performance and robustness to disturbances, an extended state observer based robust control method is proposed for each subsystem. The stability and robustness of the proposed control method are effectively demonstrated by the theoretical analysis and the actual flight experiments on the designed UAV.
引用
收藏
页码:3006 / 3016
页数:11
相关论文
共 29 条
[1]  
[Anonymous], 2012, Small unmanned aircraft: Theory and practice, DOI DOI 10.1515/9781400840601
[2]   A Survey of Small-Scale Unmanned Aerial Vehicles: Recent Advances and Future Development Trends [J].
Cai, Guowei ;
Dias, Jorge ;
Seneviratne, Lakmal .
UNMANNED SYSTEMS, 2014, 2 (02) :175-199
[3]   Extended observer based on adaptive second order sliding mode control for a fixed wing UAV [J].
Castaneda, Herman ;
Salas-Pena, Oscar S. ;
de Leon-Morales, Jesus .
ISA TRANSACTIONS, 2017, 66 :226-232
[4]   A Comprehensive Analytical Tool for Control Validation of Fixed-Wing Unmanned Aircraft [J].
Fry, J. Micah ;
Farhood, Mazen .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2020, 28 (05) :1785-1801
[5]   Nonlinear Observers for GNSS- and Camera-Aided Inertial Navigation of a Fixed-Wing UAV [J].
Fusini, Lorenzo ;
Fossen, Thor, I ;
Johansen, Tor Arne .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2018, 26 (05) :1884-1891
[6]   Robust LPV modeling and control of aircraft flying through wind disturbance [J].
Gao, Zhenxing ;
Fu, Jun .
CHINESE JOURNAL OF AERONAUTICS, 2019, 32 (07) :1588-1602
[7]   An Iterative Model Predictive Control Algorithm for UAV Guidance [J].
Gavilan, Francisco ;
Vazquez, Rafael ;
Camacho, Eduardo F. .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2015, 51 (03) :2406-2419
[8]   Extended State Observer-Based Controller With Model Predictive Governor for 3-D Trajectory Tracking of Underactuated Underwater Vehicles [J].
Kong, Shihan ;
Sun, Jinlin ;
Qiu, Changlin ;
Wu, Zhengxing ;
Yu, Junzhi .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (09) :6114-6124
[9]   Robust error-based active disturbance rejection control of a quadrotor [J].
Lechekhab, Taki Eddine ;
Manojlovic, Stojadin ;
Stankovic, Momir ;
Madonski, Rafal ;
Simic, Slobodan .
AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2021, 93 (01) :89-104
[10]   Modeling, Autopilot Design, and Field Tuning of a UAV With Minimum Control Surfaces [J].
Liu, Ming ;
Egan, Greg K. ;
Santoso, Fendy .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2015, 23 (06) :2353-2360