| [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, 8(42):525826-525826[2]SUN C.Development trend of future fighter: A re-view of evolution of winning mechanism in air com-bat[J].Acta Aeronautica et Astronautica Sinica, 2021, 42(8):525826-525826[3]Withington T.B-2A Spirit Units in Combat[M]. Bloomsbury Publishing, 2012.[4]谭健, 周洲, 祝小平等.基于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[5]TAN J, ZHOU Z, ZHU X, 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[6]谭健, 周洲, 祝小平等.飞翼布局无人机二阶滑模姿态跟踪鲁棒控制[J].西北工业大学学报, 2015, 33(2):185-190[7]TAN J, ZHOU Z, ZHU X, et al.Second Order Sliding Mode Attitude Tracking and Robust Control of Fly-ing-Wing UAV[J].Journal of Northwestern Poly-technical University, 2015, 33(2):185-190[8]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[9]ZHAO Z, GU Z, XUE P, et al.Composite continuous nonsingular terminal sliding mode fault tolerant atti-tude tracking control for flying wing UAV[J].Control Theory& Applications, 2023, 40(7):1277-1286[10]张阳.基于超螺旋滑模的飞翼无人机控制研究[D]. 华中科技大学, 2021.[11]ZHANG Y.Adaptive Super Twisting Sliding Mode Control for Flying-Wing UAV[D]. Huazhong Univer-sity of Science and Technology, 2021 (in Chinese).[12]Li W, Zhang W, Shi J, et al.Lateral Control Recon-figuration of Tailless Flying-wing UAV Based on L1 Adaptive Control Method[Z]. IEEE CSAA Guidance, Navigation and Control Conference (CGNCC): 2018.[13]Xi A, Zhao Y.L-1 Adaptive Control of the Flying Wing UAV with Unknown Time-varying Disturb-ances[C]. 11th Asian Control Conference (ASCC), 2017:543-548.[14]Zhang S, Shuang W, Meng Q.Control Surface Faults Neural Adaptive Compensation Control for Tailless Flying Wing Aircraft with Uncertainties[J].Interna-tional Journal of Control, Automation and Systems, 2018, 16(4):1660-1669[15]Shuang W F, Zhang S J, Wu X.An anti-windup fault tolerant control method for tailless flying wing air-craft[C]. IEEE Chinese Guidance, Navigation and Control Conference (CGNCC): IEEE, 2016: 438-443.[16]Huang C, Zhang S.A prescribed performance adap-tive optimal control scheme for flying-wing air-craft[C]. International Conference on Unmanned Air-craft Systems (ICUAS): IEEE, 2020: 1828-1833.[17]Holtsov A S, Farhadi R M, Kortunov V I, et al.Com-parison of the UAV adaptive control with the robust control based on mu-synthesis[C]. 4th IEEE Interna-tional Conference Methods and Systems of Naviga-tion and Motion Control (MSNMC): IEEE, 2016: 18-21.[18]Meyer G, Su R, Hunt L R.Application of nonlinear transformations to automatic flight control[J].Auto-matica, 1984, 20(1):103-107[19]Francesco G D, Mattei M.Modeling and Incremental Nonlinear Dynamic Inversion Control of a Novel Unmanned Tiltrotor[J].Journal of Aircraft, 2016, 53(1):1-14[20]Grondman F, Looye G H N, Kuchar R O, et al.De-sign and Flight Testing of Incremental Nonline-ar Dynamic Inversion-based Control Laws for a Pas-senger Aircraft[C]. 2018[21]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[22]PAN Z, XUE Y, ZHANG H.Dynamic Inverse Con-trol of Super-Maneuverable Aircraft Based on Sliding Mode Observer and PI[J].Electronics Optics & Con-trol, 2015, 22(9):25-30[23]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[24]YANG S, LIU C, TANG S, et al.Dual Channel Ma-neuver Flight Control Based on Dynamic Inverse and Dynamic Sliding Mode[J].Journal of System Simulation, 2018, 30(1):156-163[25]晋玉强, 史贤俊, 王学宝.基于神经网络的导弹鲁棒动态逆设计[J].系统工程与电子技术, 2008, 30(2):327-331[26]JIN Y, SHI X, WANG X.Robust dynamic inversion control for BTT missile based on neural networks[J].Systems Engineering and Electronics, 2008, 30(2):327-331[27]杨志峰, 雷虎民, 李庆良等.基于神经网络的导弹鲁棒动态逆控制[J].宇航学报, 2010, 31(10):2295-2301[28]YANG Z, LEI H, LI Q, et al.RBF Neural-Network-Based Robust Dynamic Inverse Control for a Mis-sile[J].Journal of Astronautics, 2010, 31(10):2295-2301[29]刘西, 南英, 谢如恒等.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[30]LIU X,NAN Y,XIE R,et al.DDPG Optimization Based on Dynamic Inverse of Aircraft Attitude Con-trol[J].Computer Simulation, 2020, 37(7):37-43[31]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, Portland: AIAA, 1990: 826-839.[32]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[33]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[34]CHEN H, ZHANG S, FANG Z.Implicit NDI Robust Nonlinear Control Design with Acceleration Feed-back[J].ACT A AERONAUTICA ET ASTRONAUTICA SINICA, 2009, 30(4):597-603[35]Hongbo Xin, Qingyang Chen, Peng Wang, et al.The Control Performance Analysis of the Incremental Nonlinear Dynamic Inverse Method and Flight Test[C]. ICAUS 2022, LNEE 1010, pp. 3609–3619, 2023.[36]Ulus, Eski.Neural network and fuzzy logic-based hybrid attitude controller designs of a fixed-wing UAV[J].Neural Computing and Applications, 2021, 33(14):8821-8843[37]孟祥瑞.基于神经网络补偿动态逆的飞翼布局无人机姿态控制方法[J].导航定位与授时, 2018, 5(4):49-55[38]MENG X.Research on Attitude Control of Flying-wing UAV Based on Dynamic Inversion Method with Neural Network Compensation Structure[J].Naviga-tion Positioning and Timing, 2018, 5(4):49-55[39]Y.Z, M. H, W. S. Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs[C]. 2020 3rd International Conference on Unmanned Systems (ICUS), Harbin, China: 2020: 239-244.[40]E.B,EM C,D. R,et al. Data-Efficient Deep Rein-forcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments[J].IEEE Transac-tions on Neural Networks and Learning Systems, 2024, 35(3):3168-3180[41]X.Yao, Q. Chen, B. Zhu, et al. Attitude Control of Flying-Wing UAV based on Deep Deterministic Poli-cy Gradient[C]. 2025 40th Youth Academic Annual Conference of Chinese Association of Automation (YAC), Zhengzhou, China, 2025, pp. 920-926.[42][30] 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(1):105319-105319[43]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, 6(59):1500-1513[44]Beard R W, Mclain T W.Small unmanned aircraft: Theory and practice[M]. Princeton university press, 2012.[45]Stevens B L, Lewis F L, Johnson E N.Aircraft con-trol and simulation: dynamics, controls design, and autonomous systems[M]. John Wiley & Sons, 2015.[46]HAN J Q.From PID to active disturbance rejection control[J].IEEE Transactions on Industrial Electron-ics, 2009, 56(3):900-906 |