Electronics and Electrical Engineering and Control

Attitude control under wide-envelope for flying-wing UAVs combining tracking differentiator and incremental nonlinear dynamic inversion

  • Qingyang CHEN ,
  • Zhengmin JIA ,
  • Yafei LU ,
  • Yujie WANG ,
  • Peng WANG
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  • College of Aerospace Science and Engineering,National University of Defense Technology,Changsha 410073,China

Received date: 2025-11-20

  Revised date: 2025-12-29

  Accepted date: 2026-03-06

  Online published: 2026-03-16

Supported by

Natural Science Foundation of Hunan Province(2023JJ30631)

Abstract

To meet the requirements of a complete flight mission profile for the flying-wing Unmanned Aerial Vehicles (UAVs), autonomous and reliable attitude control under wide flying envelope plays a crucial role. How to overcome the influence of flying-wing UAVs’ insufficient longitudinal maneuverability, weak directional stability, as well as the combined effects of strong nonlinearity under wide operating conditions and external disturbances, to achieve precise and stable control, is a significant challenge. This paper focuses on the study of autonomous and reliable attitude control of flying-wing UAVs under wide flying envelope. Firstly, to overcome the effects of strong nonlinearity and model deviations of the aircraft, an Incremental Nonlinear Dynamic Inversion(INDI)-based attitude control method is designed. Combined with the dynamical characteristics of coordinated turns for vehicles, reasonable calculation of pseudo commands is achieved. Based on the proposed method, extensive simulation tests for longitudinal, lateral-direction channels and crosswind disturbances environments were carried out, to verify the effectiveness and limitations of the method. Secondly, to address the differential calculation problem in INDI, a Tracking Differentiator(TD)-based pseudo-command optimization method was designed. Finally, simulation and actual flight experiments of the attitude controller based on combining INDI and TD were conducted, and the advantages of the designed method were validated through tests in noise environments.

Cite this article

Qingyang CHEN , Zhengmin JIA , Yafei LU , Yujie WANG , Peng WANG . Attitude control under wide-envelope for flying-wing UAVs combining tracking differentiator and incremental nonlinear dynamic inversion[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2026 , 47(15) : 333119 -333119 . DOI: 10.7527/S1000-6893.2026.33119

References

[1] 孙聪. 从空战制胜机理演变看未来战斗机发展趋势[J]. 航空学报, 2021, 42(8): 525826.
  SUN C. Development trend of future fighter: a review of evolution of winning mechanism in air combat[J]. Acta Aeronautica et Astronautica Sinica, 2021, 42(8): 525826 (in Chinese).
[2] 陈清阳, 辛宏博, 王鹏, 等. 飞翼布局飞行器研究现状分析[J]. 国防科技大学学报, 2024, 46(3): 39-58.
  CHEN Q Y, XIN H B, WANG P, et al. Analysis of the current research on the flying-wing aircraft[J]. Journal of National University of Defense Technology, 2024, 46(3): 39-58 (in Chinese).
[3] 谭健, 周洲, 祝小平, 等. 基于terminal滑模与控制分配的飞翼布局无人机姿态控制[J]. 西北工业大学学报, 2014, 32(4): 505-510.
  TAN J, ZHOU Z, ZHU X P, et al. Attitude control of flying wing UAV based on terminal sliding mode and control allocation[J]. Journal of Northwestern Polytechnical University, 2014, 32(4): 505-510 (in Chinese).
[4] 顾子箫, 赵振华, 闻子侠, 等. 基于滑模观测器的飞翼无人机输出反馈控制[J]. 航空科学技术, 2023, 34(12): 75-82.
  GU Z X, ZHAO Z H, WEN Z X, et al. Sliding mode observer based output feedback controller design of flying wing UAV[J]. Aeronautical Science and Technology, 2023, 34(12): 75-82 (in Chinese).
[5] 赵振华, 顾子箫, 薛鹏翔, 等. 飞翼无人机复合连续非奇异终端滑模姿态跟踪容错控制[J]. 控制理论与应用, 2023, 40(7): 1277-1286.
  ZHAO Z H, GU Z X, XUE P X, et al. Composite continuous nonsingular terminal sliding mode fault tolerant attitude tracking control for flying wing UAV[J]. Control Theory&Applications, 2023, 40(7): 1277-1286 (in Chinese).
[6] 张阳. 基于超螺旋滑模的飞翼无人机控制研究[D]. 武汉: 华中科技大学, 2021.
  ZHANG Y. Adaptive super twisting sliding mode control for flying-wing UAV[D]. Wuhan: Huazhong University of Science and Technology, 2021 (in Chinese).
[7] LI W H, ZHANG W G, SHI J P, et al. Lateral control reconfiguration of tailless flying-wing UAV based on L1 adaptive control method[C]∥2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC). Piscataway: IEEE Press, 2020.
[8] XI A, ZHAO Y. L1 Adaptive control of the flying wing UAV with unknown time-varying disturbances[C]∥2017 11th Asian Control Conference (ASCC). Piscataway: IEEE Press, 2018.
[9] 禹志龙, 李颖晖, 裴彬彬, 等. 具有飞行包线限制的飞翼无人机鲁棒自适应容错姿态控制[J]. 兵工学报, 2024, 45(1): 231-240.
  YU Z L, LI Y H, PEI B B, et al. Robust adaptive fault-tolerant attitude control of flying-wing UAVs with flight envelope constraints[J]. Acta Armamentarii, 2024, 45(1): 231-240 (in Chinese).
[10] SHUANG W F, ZHANG S J, WU X. An anti-windup fault tolerant control method for tailless flying wing aircraft[C]∥2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC). Piscataway: IEEE Press, 2017.
[11] HUANG C Y, ZHANG S J. A prescribed performance adaptive optimal control scheme for flying-wing aircraft[C]∥2020 International Conference on Unmanned Aircraft Systems (ICUAS). Piscataway: IEEE Press, 2020.
[12] HOLTSOV A S, FARHADI R M, KORTUNOV V I, et al. Comparison of the UAV adaptive control with the robust control based on mu-synthesis[C]∥2016 4th IEEE International Conference on Methods and Systems of Navigation and Motion Control (MSNMC). Piscataway: IEEE Press, 2016.
[13] 邹雨春, 陶呈纲, 甄子洋, 等. 基于直接力的飞翼布局舰载机精确着舰控制[J]. 航空学报, 2025, 46(13): 531422.
  ZOU Y C, TAO C G, ZHEN Z Y, et al. Precision landing control based on direct force for flying-wing carrier-based aircraft[J]. Acta Aeronautica et Astronautica Sinica, 2025, 46(13): 531422 (in Chinese).
[14] DI FRANCESCO G, MATTEI M. Modeling and incremental nonlinear dynamic inversion control of a novel unmanned tiltrotor[J]. Journal of Aircraft, 2016, 53(1): 73-86.
[15] GRONDMAN F, LOOYE G H N, KUCHAR R O, et al. Design and flight testing of incremental nonlinear dynamic inversion-based control laws for a passenger aircraft[C]∥2018 AIAA Guidance, Navigation, and Control Conference. Reston: AIAA, 2018.
[16] 潘正伟, 薛雅丽, 章鸿翔. 滑模观测器和比例积分的超机动动态逆控制[J]. 电光与控制, 2015, 22(9): 25-30.
  PAN Z W, XUE Y L, ZHANG H X. Dynamic inverse control of super-maneuverable aircraft based on sliding mode observer and PI[J]. Electronics Optics & Control, 2015, 22(9): 25-30 (in Chinese).
[17] 杨盛毅, 刘超, 唐胜景, 等. 基于动态逆和动态滑模的双通道机动飞行控制[J]. 系统仿真学报, 2018, 30(1): 156-163, 170.
  YANG S Y, LIU C, TANG S J, et al. Dual channel maneuver flight control based on dynamic inverse and dynamic sliding mode[J]. Journal of System Simulation, 2018, 30(1): 156-163, 170 (in Chinese).
[18] 晋玉强, 史贤俊, 王学宝. 基于神经网络的BTT导弹鲁棒动态逆设计[J]. 系统工程与电子技术, 2008, 30(2): 327-330.
  JIN Y Q, SHI X X, WANG X B. Robust dynamic inversion control for BTT missile based on neural networks[J]. Systems Engineering and Electronics, 2008, 30(2): 327-330 (in Chinese).
[19] 杨志峰, 雷虎民, 李庆良, 等. 基于RBF神经网络的导弹鲁棒动态逆控制[J]. 宇航学报, 2010, 31(10): 2295-2301.
  YANG Z F, LEI H M, LI Q L, et al. RBF neural-network-based robust dynamic inverse control for a missile[J]. Journal of Astronautics, 2010, 31(10): 2295-2301 (in Chinese).
[20] 刘西, 南英, 谢如恒, 等. DDPG优化基于动态逆的飞行器姿态控制[J]. 计算机仿真, 2020, 37(7): 37-43.
  LIU X, NAN Y, XIE R H, et al. DDPG optimization based on dynamic inverse of aircraft attitude control[J]. Computer Simulation, 2020, 37(7): 37-43 (in Chinese).
[21] BUGAJSKI D J, ENNS D F, ELGERSMA M R. A dynamic inversion based control law with application to the high angle-of-attack research vehicle[C]∥Proceeding of AIAA Guidance, Navigation, and Control and Co-located Conferences. Reston: AIAA, 1990.
[22] BUGAJSKI D J, ENNS D F. Nonlinear control law with application to high angle-of-attack flight[J]. Journal of Guidance, Control, and Dynamics, 1992, 15(3): 761-767.
[23] 陈海兵, 张曙光, 方振平. 加速度反馈的隐式动态逆鲁棒非线性控制律设计[J]. 航空学报, 2009, 30(4): 597-603.
  CHEN H B, ZHANG S G, FANG Z P. Implicit NDI robust nonlinear control design with acceleration feedback[J]. Acta Aeronautica et Astronautica Sinica, 2009, 30(4): 597-603 (in Chinese).
[24] XIN H B, CHEN Q Y, ZHU B J, et al. Longitudinal attitude control and stability analysis for a low aspect ratio flying wing UAV at high angle of attack[J]. International Journal of Aerospace Engineering, 2024, 2024: 6336361.
[25] YAO X, CHEN Q Y, ZHU B J, et al. Attitude control of flying-wing UAV based on deep deterministic policy gradient[C]∥2025 40th Youth Academic Annual Conference of Chinese Association of Automation (YAC). Piscataway: IEEE Press, 2025.
[26] 葛增冉, 史志伟, 董益章, 等. 基于射流控制的飞翼布局飞行器大迎角横航向非指令运动抑制[J]. 实验流体力学, 2025, 39(5): 37-45.
  GE Z R, SHI Z W, DONG Y Z, et al. Roll-yaw control of flying wing aircraft at a high angle of attack based on jet control[J]. Journal of Experiments in Fluid Mechanics, 2025, 39(5): 37-45 (in Chinese).
[27] ZHEN Y, HAO M R, SUN W D. Deep reinforcement learning attitude control of fixed-wing UAVs[C]∥2020 3rd International Conference on Unmanned Systems (ICUS). Piscataway: IEEE Press, 2020.
[28] B?HN E, COATESD E M, REINHARDT D, et al. Data-efficient deep reinforcement learning for attitude control of fixed-wing UAVs: field experiments[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(3): 3168-3180.
[29] L?CHERT P, HUBER K C, GHOREYSHI M, et al. Control device effectiveness studies of a 53°swept flying wing configuration. Experimental, computational, and modeling considerations[J]. Aerospace Science and Technology, 2019, 93: 105319.
[30] BOSCHETTI P J, NEVES C A, GONZáLEZ P J. Nonlinear aerodynamic model in dynamic ground effect at high angles of attack[J]. Journal of Aircraft, 2022, 59 (6): 1500-1513.
[31] BEARD R W, MCLAIN T W. Small unmanned aircraft[M]. Princeton: Princeton University Press, 2012: 27-33.
[32] STEVENS B L, LEWIS F L, JOHNSON E N. Aircraft control and simulation: Dynamics, controls design, and autonomous systems[M]. Hoboken: John Wiley & Sons, 2015: 16-44.
[33] HAN J Q. From PID to active disturbance rejection control [J]. IEEE Transactions on Industrial Electronics, 2009, 56(3): 900-906.
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