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1. 西北工业大学 航天学院,陕西,西安,710129
2. 中国空空导弹研究院,河南,洛阳,471009
Received:30 September 2025,
Online First:10 February 2026,
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凡文帅,许红羊,赵振坤,等. 可变构型飞行器自主变形决策技术研究[J/OL]. 兵工学报, 2026(2026-02-10). https://doi.org/10.12382/bgxb.2025.0900.
FAN W N, XU H N, ZHAO Z N, et al. Research on autonomous morphing decision-making technology[J/OL]. Acta Armamentarii, 2026(2026-02-10). https://doi.org/10.12382/bgxb.2025.0900. (in Chinese)
凡文帅,许红羊,赵振坤,等. 可变构型飞行器自主变形决策技术研究[J/OL]. 兵工学报, 2026(2026-02-10). https://doi.org/10.12382/bgxb.2025.0900. DOI:
FAN W N, XU H N, ZHAO Z N, et al. Research on autonomous morphing decision-making technology[J/OL]. Acta Armamentarii, 2026(2026-02-10). https://doi.org/10.12382/bgxb.2025.0900. (in Chinese) DOI:
针对一种可变化展长、后掠角的飞行器通过自主变形决策来获取最小阻力外形的问题,提出基于专家引导记忆回放的双延迟深度确定性策略梯度(Twin Delayed Deep Deterministic policy gradient,TD3的自主变形技术。根据飞行器典型任务需求构建了变体飞行器运动模型以及由变体引起的非线性气动变化特征。对TD3算法进行改进,设计了E-M-TD3算法的训练步骤,通过判断飞行器在执行大空域下多样化任务时的动压变化趋势以及攻角变化趋势,结合期望外形设计了变形过程中的专家引导机制;通过将记忆缓冲区接入TD3网络,将得到当前策略的评价值与动作策略网络输出该策略评价值做对比,来更快地选择最优策略。提出的E-M-TD3算法框架实现了飞行器在典型任务场景中全过程阻力最小并兼具机动性能。仿真结果表明:新算法快速收敛,训练完成得到的飞行器构型在飞行过程中所受阻力可下降7%,在能量消耗方面具有显著优势。
In order toachievethe minimum-drag configuration for an aircraft with variable wingspan and sweep angle through autonomous morphing decision-making
this paper proposes an autonomous morphing technologybased on the TD3 (twindelayeddeepdeterministicpolicygradient) algorithm enhanced by expert-guided memory replay
termedexpert-memory-TD3(E-M-TD3).Amotion model for the morphing aircraft and the characteristics of nonlinear aerodynamic variations induced by morphing are established according to the typical mission requirements. Subsequently
the TD3 algorithmis improved
and the training procedure of the E-M-TD3 algorithm is designed. By analyzing thevariationtrends of dynamic pressure and angle of attackwhen the aircraft is performingdiverse missionsin alarge airspace
an expert-guided mechanism is incorporated into the morphing processin conjunction with the desired configuration.Anoptimal strategy can be selected more rapidlyby integrating a memory replay buffer into the TD3 network and comparing the evaluatedvalueof the current policy with theestimatedvalueofthe policy networkoutputtedby the critic network for theactions. The proposed E-M-TD3 framework ensures minimal drag throughout the entire mission profile in typical operational scenarios while maintaining maneuverability. Simulatedresults demonstrate that theproposedalgorithm converges quickly. The trained aircraft configuration achieves a 7% reduction in drag during flight
exhibitingasignificant advantageinterms ofenergy consumption.
冉茂鹏, 王成才, 刘华华, 等. 变体飞行器控制技术发展现状与展望[J]. 航空学报, 2022, 43(10): 527449.
RAN M P, WANG C C, LIU H H, et al. Research status and future development of morphing aircraft control technology[J]. Acta Aeronautica et Astronautica Sinica, 2022, 43(10): 527449. (in Chinese)
陈树生, 贾苜梁, 刘衍旭, 等. 变体飞行器变形方式及气动布局设计关键技术研究进展[J]. 航空学报, 2024, 45(6): 629595.
CHEN S S, JIA M L, LIU Y X, et al. Key technology research progress in morphing aircraft deformation methods and aerodynamic configuration design[J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(6): 629595. (in Chinese)
AJAJ R M, JANKEE G K. The transformer aircraft: a multimission unmanned aerial vehicle capable of symmetric and asymmetric span morphing[J]. Aerospace Science and Technology, 2018, 76(1): 512-522.
甄子洋, 刘攀, 陆宇平. 变体飞行器智能变形与飞行控制技术研究进展[J].南京航空航天大学学报, 2022, 54(6): 995-1006.
ZHEN Z Y, LIU P, LU Y P. Research progress in intelligent morphing and flight control technology for morphing aircraft[J]. Journal of Nanjing University of Aeronautics and Astronautics, 2022, 54(6): 995-1006. (in Chinese)
罗世彬, 岳航, 刘俊, 等.高超声速变体飞行器宽速域气动特性研究[J].南京航空航天大学学报(英文版), 2024, 41(2):184-201.
LUO S B, YUE H, LIU J, et al. Investigation on wide-speed-range aerodynamic characteristics of hypersonic morphing vehicle[J].Transactions of Nanjing University of Aeronautics and Astronautics, 2024, 41(2): 184-201. (in Chinese)
王帅, 晁涛, 韩宇辰, 等.变体飞行器变形策略与控制方法研究进展[J].战术导弹技术, 2024, 1(4):1-15.
WANG S, CHAO T, HAN Y C, et al. Research progress on morphing strategy and control methods of morphing aircraft[J]. Tactical Missile Technology, 2024, 1(4): 1-15. (in Chinese)
CHEN X Y, LI C N, GONG C L, et al. A study of morphing aircraft on morphing rules along trajectory[J].Chinese Journal of Aeronautics, 2021, 34(7): 232-243.
王青, 刘华华.变体飞行器智能自主决策与控制[J].现代防御技术, 2020, 48(6): 5-11.
WANG Q, LIU H H.Intelligent autonomous decision-making and control for morphing aircraft[J].Modern Defense Technology, 2020, 48(6): 5-11. (in Chinese)
桑晨, 郭杰, 唐胜景, 等.基于DDPG算法的变体飞行器自主变形决策[J].北京航空航天大学学报, 2022, 48(5): 910-919.
SANG C, GUO J, TANG S J, et al. Autonomous morphing decision of morphing aircraft based on DDPG Algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(5): 910-919. (in Chinese)
梁帅, 杨林, 杨朝旭, 等.基于Kalman滤波的变体飞行器T-S模糊控制[J].航空学报, 2020, 41(S2):724274.
LIANG S, YANG L, YANG C X, et al.T-S fuzzy control for morphing aircraft based on Kalman filter[J].Acta Aeronautica et Astronautica Sinica, 2020, 41(S2):724274. (in Chinese)
张远, 黄万伟, 聂莹, 等.一种高速可变形飞行器智能变形决策方法[J].宇航学报, 2022, 43(12):1665-1675.
ZHANG Y, HUANG W W, NIE Y, et al.An intelligent morphing decision-making method for high-speed deformable aircraft[J].Journal of Astronautics, 2022, 43(12): 1665-1675. (in Chinese)
裴培, 何绍溟, 王江, 等.一种深度强化学习制导控制一体化算法[J].宇航学报, 2021, 42(10): 1293-1304.
PEI P, HE S M, WANG J, et al. An integrated guidance and control algorithm based on deep reinforcement learning[J].Journal of Astronautics, 2021,42(10): 1293-1304.(in Chinese)
谢子健, 秦建军, 曹钰.基于改进TD3的四足机器人非结构化地形运动控制[J].现代制造工程, 2025, 34(1): 33-41.
XIE Z J, QIN J J, CAO Y. Unstructured terrain motion control of quadruped robot based on improved TD3[J].Modern Manufacturing Engineering, 2025, 34(1):33-41. (in Chinese)
闫斌斌, 李勇, 戴沛, 等.基于增强学习的变体飞行器自适应变体策略与飞行控制方法研究[J].西北工业大学学报, 2019, 37(4): 656-663.
YAN B B, LI Y, DAI P, et al.Research on adaptive morphing strategy and flight control method for morphing aircraft based on reinforcement learning[J].Journal of Northwestern Polytechnical University, 2019, 37(4): 656-663. (in Chinese)
程昊宇, 张笑妍, 刘昕, 等.变体飞行器强化学习自适应抗扰动控制方法[J].宇航学报, 2025, 46(5): 977-990.
CHENG H Y, ZHANG X Y, LIU X, et al. Reinforcement learning-based adaptive disturbance rejection control for morphing aircraft[J]. Journal of Astronautics, 2025, 46(5): 977-990. (in Chinese)
龙腾, 张尧, 史人赫, 等.面向宽速域变体飞行的高超声速飞行器构型设计优化[J].宇航学报, 2025, 46(3): 414-425.
LONG T, ZHANG Y, SHI R H, et al. Configuration design optimization of hypersonic vehicles for wide-speed-range morphing flight[J]. Journal of Astronautics, 2025, 46(3): 414-425. (in Chinese)
YU D, YANG M, LIU Y J, et al. Adaptive fuzzy tracking control for uncertain nonlinear systems with multiple actuators and sensors faults[J]. IEEE Transactions on Fuzzy Systems, 2023, 31(1): 104-116.
XU D, HUI Z, LIU Y Q, et al.Morphing control of a new bionic morphing UAV with deep reinforcement learning[J]. Aerospace Science and Technology, 2019, 92(1): 232-243.
CHU L, QI L I, FENG G U, et al. Design, modeling, and control of morphing aircraft: a review[J].Chinese Journal of Aeronautics, 2022, 35(5): 220-246.
GONG L G, WANG Q, DONG C Y. Disturbance rejection control of morphing aircraft based on switched nonlinear systems[J]. Nonlinear Dynamics, 2019, 96(2): 975-995.
HUA S Y, WANG X G, WANG Z Y, et al.Integrated aerodynamic and trajectory studies of a long-range morphing missile[J].Journal of Spacecraft and Rocket, 2022, 59(6): 1934-1945.
QI J L, XU Z W, ZHU Q, et al.Research on large-deformation trapezoidal skin structure of morphing wings[J].Journal of Functional Materials, 2011, 42(1): 108-111.
PEI X T, WANG X, LIU J S, et al. A review of modeling, simulation, and control technologies of altitude ground test facilities for control application[J].Chinese Journal of Aeronautics, 2023, 36(9):38-62.
BAO C Y, WANG P, TANG G J.Integrated method of guidance, control and morphing for hypersonic morphing vehicle in glide phase[J].Chinese Journal of Aeronautics, 2021, 34(5): 535-553.
PARANCHEERIVILAKKATHIL M S, AJAJ R M, KHAN K A. A compliant polymorphing wing for small UAVs[J]. Chinese Journal of Aeronautics, 2020, 33(10): 2575-2588.
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