Electronics Optics & Control, Volume. 31, Issue 10, 1(2024)

A Review on Unmanned Aircraft System Control

WU Panlong1, HUANG Fanjing2, HE Shan1,3, CUI Junjie1, ZHAO Ruohan1, and HE Jingang3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • show less
    References(47)

    [4] [4] TOGNON MALAMI RSICILIANO B.Physical humanrobot interaction with a tethered aerial vehicle:application to a forcebased human guiding problem[J].IEEE Transactions on Robotics202137(3):723734.

    [5] [5] PRETTO AARAVECCHIA SBURGARD Wet al.Building an aerialground robotics system for precision farming:an adaptable solution[J].IEEE Robotics & Automation Magazine202128(3):2949.

    [6] [6] YUN PWU P WLI X Xet al.Variational Bayesian based adaptive PDA filter in scenarios with unknown detection probability and heavy tail process noise[J].Journal of the Franklin Institute2021358(8):45034527.

    [8] [8] HE SWU P LLI X Xet al.Adaptive modified unbiased minimumvariance estimation for highly maneuvering target tracking with model mismatch[J].IEEE Transactions on Instrumentation and Measurement202372:8501216.

    [9] [9] ZHAO R HLI X XWU P L.An improved PSO algorithm for cooperative mission assignment of space recovery[C]//China Automation Congress.Chongqing:IEEE2023:75197523.

    [12] [12] HUANG F JWU P LLI X X.Distributed flocking control of quadrotor UAVs with obstacle avoidance under the paralleltriggered scheme[J].International Journal of ControlAutomation and Systems202119(3):13751383.

    [13] [13] JIA ZHU ZZHANG W.Adaptive output feedback control with prescribed performance for trajectory tracking of underactuated surface vessels[J].ISA Transactions2019 95:1826.

    [14] [14] GHADIRI HEMAMI MKHODADADI H.Adaptive super twisting non singular terminal sliding mode control for tracking of quadrotor with bounded disturbances[J].Aerospace Science and Technology2021112:106616.

    [23] [23] CHEN J BZHOU Y MLV Q.A review of autonomous obstacle avoidance technology for multirotor UAVs[C]//IEEE International Conference on Information and Automation (ICIA).Wuyishan:IEEE2018:244249.

    [24] [24] HE SWU P LYUN Pet al.An EM algorithm for target tracking with an unknown correlation coefficient of measurement noise[J].Measurement Science and Technology202233:045110.

    [25] [25] WANG KWU P LLI X Xet al.An adaptive outlierrobust Kalman filter based on sliding window and Pearson type VII distribution modeling[J].Signal Processing 2024216:109306.

    [27] [27] WANG KWU P LLI X Xet al.A Gaussian–Pearson type VII adaptive mixture distributionbased outlierrobust Kalman filter[J].Measurement Science and Technology202334:125160.

    [28] [28] HUANG F JLI X XWU P Let al.Multisensor optimal placement algorithm for multitarget tracking[J].Journal of Chinese Inertial Technology202020(3):401407.

    [31] [31] TANG Y JHU LZHANG Q Ret al.Reinforcement learning compensated extended Kalman filter for attitude estimation[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems.Prague:IEEE2021:68546859.

    [32] [32] MARANTOS PKOVEOS YKYRIAKOPOULOS K J.UAV state estimation using adaptive complementary filters[J].IEEE Transactions on Control Systems Technology201624(4):12141226.

    [33] [33] EUSTON MCOOTE PMAHONY Ret al.A complementary filter for attitude estimation of a fixedwing UAV[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems.Nice:IEEE2008:340345.

    [36] [36] CAPOGLU I RLI YSWAMI A.Effect of Doppler spread in OFDMbased UWB systems[J].IEEE Transactions on Wireless Communications20054(5):25592567.

    [37] [37] XIONG C BSHANG ZCHEN Wet al.BwICEEMDAN/NExTERA method of data processing for dynamic monitoring of a super highrise TV tower based on GNSSRTK technique[J/OL].GPS Solutions202428(1).[20240522].https://doi.org/10.1007/s10291023015489.

    [38] [38] BACHRACH APRENTICE SHE R Jet al.RANGErobust autonomous navigation in GPSdenied environments[J].Journal of Field Robotics201128(5):644666.

    [39] [39] HUANG F JWU P LLI X Xet al.Adaptive eventtriggered pseudolinear consensus filter for multiUAVs bearingsonly target tracking [J].Neurocomputing2023 571(2):127127.

    [40] [40] PANEQUE J LMARTNEZDE D J ROLLERO A.Multisensor 6DoF localization for aerial robots in complex GNSSdenied environments[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems.Macau:IEEE2019:19781984.

    [41] [41] NGUYEN TMANN G K IVARDY Aet al.CKFbased visual inertial odometry for longterm trajectory operations[J].Journal of Robotics20202020:7362952.

    [42] [42] XU WZHANG F.FASTLIO:a fastrobust LiDARinertial odometry package by tightlycoupled iterated Kalman filter[J].IEEE Robotics and Automation Letters20216(2):33173324.

    [43] [43] XU WCAI YHE Det al.FASTLIO2:fast direct LiDARinertial odometry[J].IEEE Transactions on Robotics202238(4):20532073.

    [44] [44] QIU X CZHANG HFU W X.Lightweight hybrid visualinertial odometry with closedform zero velocity update[J].Chinese Journal of Aeronautics202033(12):33443359.

    [47] [47] XIA X WLING GHE G Let al.An expanded particle swarm optimization based on multiexemplar and forgetting ability[J].Information Sciences2020508(3):105120.

    [48] [48] ZHANG X MLIN Q YMAO W Tet al.Hybrid particle swarm and grey wolf optimizer and its application to clustering optimization[J].Applied Soft Computing2020 101(9):107061.

    [51] [51] ZHU Z XTANG B WYUAN J P.Multirobot task allocation based on an improved particle swarm optimization approach[J].International Journal of Advanced Robotic System201714(3):122.

    [52] [52] MA WFANG YFU Wet al.Cooperative localisation of UAV swarm based on adaptive SAPSO algorithm[J].The Aeronautical Journal2023127(1):5775.

    [53] [53] MEIER LTANSKANEN PHENG Let al.PIXHAWK:a micro aerial vehicle design for autonomous flight using onboard computer vision[J].Autonomous Robots2012 33:2139.

    [54] [54] NAN FSUN SFOEHN P.Nonlinear MPC for quadrotor faulttolerant control[J].IEEE Robotics and Automation Letters20227(2):50475054.

    [55] [55] FARRELL MJACKSON JNIELSEN Jet al.Errorstate LQR control of a multirotor UAV[C]//International Conference on Unmanned Aircraft Systems.Atlanta:IEEE2019:704711.

    [57] [57] ROMERO APENICKA RSCARAMUZZA D.Timeoptimal online replanning for agile quadrotor flight[J].IEEE Robotics and Automation Letters20227(3):77307737.

    [58] [58] FALANGA DFOEHN PLU Pet al.PAMPC:perceptionaware model predictive control for quadrotors[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems.Madrid:IEEE2018:18.

    [59] [59] BELKHALE SLI RKAHN Get al.Modelbased metareinforcement learning for flight with suspended payloads[J].IEEE Robotics and Automation Letters20216(2):14711478.

    [60] [60] SONG Y LSCARAMUZZA D.Learning highlevel policies for model predictive control[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems.Las Vegas:IEEE2020:76297636.

    [61] [61] FISAC J FAKAMETALU A KZEILINGER M Net al.A general safety framework for learningbased control in uncertain robotic systems[J].IEEE Transactions on Automatic Control201964(7):27372752.

    [64] [64] DUTTA MPANTELEY ELORIA Aet al.MRACbased dynamic consensus of linear systems with biased measurements over directed networks[J].Automatica2024 161:111498.

    [66] [66] BAI CYIN ZZHANG Y.Multiplemodels adaptive disturbance observerbased predictive control for linear permanentmagnet synchronous motor vector drive[J].IEEE Transactions on Power Electronics202237:95969611.

    [68] [68] WU Z QLIU LZHAO L R.Finitetime neural network adaptive control of underactuated robots[J].Applied Mechanics and Materials2014685:271274.

    [69] [69] FOEHN PROMERO ASCARAMUZZA D.Timeoptimal planning for quadrotor waypoint flight[J].Science Robot 202165:120.

    [70] [70] YUAN YDENG YLUO Set al.Hybrid formation control framework for solarpowered quadrotors via adaptive fission pigeoninspired optimization[J].Aerospace Science and Technology2022126:107564.

    [71] [71] YU Y JCHEN CGUO Jet al.Adaptive formation control for unmanned aerial vehicles with collision avoidance and switching communication network[J].IEEE Transactions on Fuzzy Systems202432(3):14351445.

    [73] [73] MAO XZHANG H BWANG Y H.Flocking of quadrotor UAVs with fuzzy control[J].ISA Transactions2018 74:185193.

    [74] [74] SAIF OFANTONI IZAVALARO A.Distributed integral control of multiple UAVs:precise flocking and navigation[J].IET Control Theory and Applications2019 13(13):20082017.

    [75] [75] YUE Y PYANG H JLIU F Cet al.Cooperative control for multiple quadrotors under position deviations and aerodynamic drag[J].Mechanical Systems and Signal Processing2021147:107096.

    [77] [77] LI ZMA XLI Y.Robust tracking control strategy for a quadrotor using RPDSMC and RISE[J].Neurocomputing2019331:312322.

    Tools

    Get Citation

    Copy Citation Text

    WU Panlong, HUANG Fanjing, HE Shan, CUI Junjie, ZHAO Ruohan, HE Jingang. A Review on Unmanned Aircraft System Control[J]. Electronics Optics & Control, 2024, 31(10): 1

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: May. 22, 2024

    Accepted: --

    Published Online: Oct. 23, 2024

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2024.10.001

    Topics