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空射高超声速飞行器相较于基于地面、海上等平台的发射方式,具备有灵活性高、响应快、机动性强等优势,逐渐成为世界各大航空航天强国关注的重要领域。总结了空射高超声速飞行器以及相关技术的研究现状,概述并评估了助推-巡航式以及助推-滑翔式两种类型空射高超声速飞行器的研究现状,分析了机弹分离、轨迹优化、智能化制导控制、智能轨迹优化、多机协同规划技术。助推-巡航式技术难度较低、故障率较低、适配载机种类较多,但机动性较差、射程较近;助推-滑翔式技术难度较高、故障率较高、适配载机较少,但机动性强、射程远。未来研究将更加注重智能化、小型化、多样化、多用途化设计。
Abstract:Compared with ground-based, sea-based, and other platform-based launch methods, airlaunched hypersonic vehicles(ALHVs) exhibit advantages such as high flexibility, rapid response, and strong maneuverability, and have gradually become an important research field of concern to major aerospace powers worldwide. The research status of ALHVs and related technologies is summarized, and the research progress of two types of ALHVs—boost-cruise and boost-glide configurations—is outlined and evaluated. Key technologies, including aircraft-missile separation, trajectory optimization, intelligent guidance and control, intelligent trajectory optimization, and multi-aircraft cooperative planning are analyzed. The boost-cruise configuration is featured by lower technical difficulty, lower failure rate, and better compatibility with various carrier aircraft, but with weaker maneuverability and shorter range. In contrast, the boost-glide configuration is characterized by higher technical difficulty, higher failure rate, and limited compatibility with carrier aircraft, but offers strong maneuverability and long range. Greater emphasis will be placed on the design of intelligence, miniaturization, diversification, and multi-purpose in future research.
[1]Son J W,Ko H S,Choi H L. Refined mode classification and performance analysis method of dual-mode scramjet vehicles for flight trajectory optimization[J]. Aerospace Science and Technology,2024,152:109366.
[2]王东威,李杰.进气道起动保护约束下超燃冲压发动机预测控制研究[J].推进技术,2025,46(10):249-255.
[3]木易.潜射高超导弹:隐蔽的疾速“杀手锏”[J].太空探索,2024(1):64-67.
[4]雷国东,李岩,徐悦.基于翼身融合布局载机的组合空射飞行器概念设计与气动优化[J].气体物理,2022,7(5):50-62.
[5]汪丰麟,朱启超,张杰.美国高超声速武器发展现状与得失简析[J].国防科技,2022,43(1):38-51.
[6]李铁麟,林深,熊学文,等.俄罗斯高超声速武器装备发展综述及启示[J].飞航导弹,2021(12):51-56.
[7]刘德胜,陈庆印,徐娟娟.俄罗斯高超声速武器发展现状及启示[J].战术导弹技术,2023(4):142-147.
[8]辛元元.天空游侠:美国X-51A高超音速飞行器[J].太空探索,2010(4):46-50.
[9]魏毅寅,张冬青,叶蕾,等.美国X-51A飞行器完成首次动力飞行试验[J].飞航导弹,2010(6):2-7+99+97.
[10]佚名.美X-51A飞行器首次飞行试验成功[J].航天电子对抗,2010,26(4):60.
[11]张海林,周林,高少杰,等.美国X-51A飞行器发展分析[J].飞航导弹,2014(9):35-38.
[12]野舟.美国X-51A飞行器第三次飞行试验失败[J].飞航导弹,2012(8):87.
[13]王胜,王强,林博希,等.类X-51A飞行器纵向机动数值虚拟飞行仿真[J].北京航空航天大学学报,2021,47(1):97-105.
[14]牛青林,李强,高文强,等.类X-51A飞行器被动巡航状态红外辐射特性研究[J].兵器装备工程学报,2021,42(9):45-49.
[15]周朗,徐春光.类X-51A飞行器尖锐前缘多孔逆向喷流降热[J].中山大学学报(自然科学版)(中英文),2023,62(2):156-164.
[16]董天洋,林志勇,孟夏莹,等.类X-51A飞行器巡航状态气动与燃烧流场特性分析[J].制导与引信,2024,45(1):7-12.
[17]Choi Y S,Yost M F,Evan W. et al. Scramjet performance computed for a JP-7-fueled generic X-51 vehicle[J]. Journal of Propulsion and Power,2022,38(3):348-358.
[18]Choi Y S,Driscoll J F. Optimization of thrust of a generic X-51 hypersonic vehicle[J]. Journal of Propulsion and Power,2024,40(6):905-915.
[19]温杰.美国海军的HyFly计划[J].飞航导弹,2008(12):10-13
[20]In Brief-HyFly passes wind tunnel tests[J]. Jane′s Defence Weekly,2004(33):0265-3818.
[21]Norris G. USN HyFly missile passes key Mach 3 booster test[J]. Flight International,2005,168(5008):18.
[22]朱爱平,马凌. HyFly项目简介[J].飞航导弹,2010(5):39-42+47.
[23]丛敏,李文杰. HyFly第四次飞行试验失败[J].飞航导弹,2008(11):19.
[24]李雅琴.美国成功开展吸气式高超声速武器的首次飞行试验[J].导弹与航天运载技术,2021(5):136.
[25]刘晓正. DARPA成功开展高超声速吸气式武器概念(HAWC)第3次试飞[J].导弹与航天运载技术,2022(4):156.
[26]武嘉明,王俊伟,李向阳.美空射高超声速武器发展分析[J].战术导弹技术,2024(4):123-128.
[27]苑桂萍,肖益,余明璐.美军2018—2024财年高超声速技术领域科研预算分析[J].战术导弹技术,2023(5):64-72.
[28]李林莉,李佼阳,汤娟,等.美国DARPA近5年国防科研经费预算活动的趋势与特点[J].世界科技研究与发展,2023,45(1):77-86.
[29]穆瑞芬,耿嘉,周伊蕾.美国国防部2022财年高超声速热点预算分析[J].中国航天,2021(10):66-70.
[30]崔亚鹏,孙璐.美军2024财年高超声速领域预算经费分析[J].国际太空,2024(2):32-37.
[31]孙宗祥,陈喜兰,张若冰,等.美国吸气式高超声速巡航弹发展评估[J].飞航导弹,2021(12):43-50.
[32]王俊伟,冯丽,叶蕾,等. 2022年国外高超声速领域发展研究[J].战术导弹技术,2023(2):15-24.
[33]任春艳,刘颖,张迁,等. 2022年国外高超声速空面导弹发展动态研究[J].航空兵器,2023,30(6):18-26.
[34]Minchekar A. Senior Air Force official has positive approach to HACM[EB/OL]. 2023-08-03[2025-06-06].https://insidedefense. com/daily-news/senior-air-forceofficial-has-positive-approach-hacm.
[35]K. Mesch S. Kendall′more committed′to HACM,questions ARRW[EB/OL]. 2023-03-28[2025-06-06].https://insidedefense.com/daily-news/kendall-more-com mitted-hacm-questions-arrw.
[36]Rosenberg, Z. HACM undergoing subsystem ground testing and beginning fabrication[J]. Jane′s Defence Weekly,2023,60(22):6.
[37]李宏宇,尹童,敦晓彪.临近空间高超声速武器发展概况与防御体系研究[J].现代防御技术,2022,50(6):1-10.
[38]佚名.俄罗斯先锋高超声速导弹服役[J].飞航导弹,2020(1):2.
[39]佚名.俄军2021年将接收新一批先锋高超声速导弹系统[J].飞航导弹,2021(4):2.
[40]张绍芳,武坤琳,张洪娜.俄罗斯助推滑翔高超声速飞行器发展[J].飞航导弹,2016(3):20-22.
[41]康开华,才满瑞,伍赣湘,等.美国高超声速技术飞行器[J].航天制造技术,2010(1):7-11.
[42]王玉惠,都延丽,傅健.高超声速飞行器鲁棒自适应飞行控制[M].北京:国防工业出版社,2023.
[43]Shao C,Nie L,Chen W F. Analysis of electromagnetic scattering characteristics for a HTV-2 type flight vehicle ablation flows[J]. AIP Conference Proceedings,2014,1628(1):1277.
[44]陶善聪,周毅,时晓天.壁温对类HTV-2飞行器气动力计算的影响[J].兵器装备工程学报,2023,44(10):250-257.
[45]张楚瑶,张正,丰志伟,等.类HTV-2飞行器沿弹道气动热环境快速预示方法[J].系统仿真技术,2025,21(2):133-139.
[46]马平,韩一平,张宁,等.高超声速类HTV2模型全目标电磁散射特性实验研究[J].物理学报,2022,71(8):85-95.
[47]石卫波,孙海浩,于哲峰,等.类HTV-2高超声速滑翔飞行器的本体光辐射特性分析[J].红外,2022,43(1):26-34+48.
[48]于哲峰,梁世昌,石卫波,等.类HTV-2飞行器光电特性的分析评估技术[J].航空学报,2023,44(S2):127-137.
[49]贾朕恒,张庆典,卓丛山.基于气体动理学方法的HTV-2高超声速定常绕流数值模拟[J].上海航天(中英文),2025,42(2):203-212.
[50]张灿,宋锋.美军取消高超声速常规打击武器项目的原因与研判[J].飞航导弹,2020(8):26-29+34.
[51]谢祎莎,严毅梅.美AGM-183A高超声速助推滑翔导弹首飞[J].兵器知识,2019(12):61-63.
[52]曾宏刚,廖孟豪.美国AGM-183A机载高超声速助推滑翔导弹技术方案及主要性能研判[J].飞航导弹,2020(6):20-22+34.
[53]高铭,王健,刘杰,等.俄“匕首”高超声速导弹首次实战使用分析与启示[J].战术导弹技术,2022(6):116-120.
[54]韩洪涛.俄“匕首”高超声速导弹执行战斗执班试验[J].导弹与航天运载技术,2018(3):9.
[55]穆易.“匕首”:在战场上演“秒杀”行动[J].太空探索,2025(4):66-69.
[56]郦骏,宋贵宝.基于多目标决策技术的导弹武器系统综合评价方法[J].军事运筹与系统工程,2004(3):68-73.
[57]黄睿,刘小方,郑祥.某型导弹性能质量评估系统设计与实现[J].火炮发射与控制学报,2019,40(2):88-92.
[58]张永久,成跃,张立新.某型导弹质量评估方法研究[J].航空兵器,2007(5):56-59.
[59]李静,王星宇,张灏龙,等.基于网络分析法的装备作战能力优化评估方法研究[J].导弹与航天运载技术,2023(1):146-152.
[60]杨进,慈颖,宋健.基于网络层次分析方法的飞行器装备作战效能评估方法研究[J].模糊系统与数学,2024,38(1):165-175.
[61]刘喜霞.《新材料技术成熟度等级划分及定义》国家标准正式发布[J].工业炉,2021,43(2):35.
[62]艾邦成,宋威,董垒,等.内埋武器机弹分离相容性研究进展综述[J].航空学报,2020,41(10):22-41.
[63]龚翠翠,刘宇新,肖红林,等.外挂式制导武器机弹分离气动干扰特性及安全性研究[C].中国航天电子技术研究院科学技术委员会2020年学术年会,北京,中国,2020-12-15.
[64]宋威,艾邦成.内埋武器机弹分离相容性及流动控制试验研究[J].空气动力学学报,2022,40(3):203-211.
[65]董金刚,张晨凯,谢峰,等.内埋武器超声速分离机弹干扰特性试验研究[J].实验流体力学,2021,35(3):46-51.
[66]宋威.内埋武器机弹分离相容性的风洞投放试验预测[C].第五届非定常空气动力学学术会议,扬州,中国,2021-04-11.
[67]Song W,Dong J G,Lu W. Trajectory and attitude deviations for internal store separation due to unsteady and quasi-steady test method[J]. Chinese Journal of Aeronautics,2022,35(2):74-81.
[68]Xue F,Ren Y P,Li Z,et al. Aerodynamic characteristics of store during lateral jet assisted separation from cavity using free drop technique[J]. Chinese Journal of Aeronautics,2023,36(1):139-151.
[69]李欢,杨悦悦,张杰,等.分离涡模拟方法在内埋弹舱机弹分离模拟中的应用[J].空气动力学学报,2022,40(3):190-202.
[70]Ben-Gida H. Detached eddy simulations of cavity-store interactions at subsonic turbulent flow[J]. Aerospace,2023,10(11):935.
[71]Yong Z, Lei J, Liu Q. Numerical simulation of the backward dispensing of a missile from the guide rail inside the carrier at supersonic flow[J]. International Journal of Aeronautical and Space Sciences,2025,26(2):494-516.
[72]Pan X,Jiang Y,Hu D,et al. Influence of external factors on airborne missile′s horizontal backward launching[J]. International Journal of Aerospace Engineering,2021,2021:1-12.
[73]严武凌,邱亚峰.基于区域霍夫变换的机弹分离初始信息提取研究[J].应用光学,2021,42(1):65-70.
[74]李探奇,曾宏刚.基于粒子群算法的空射高超声速飞行器投放点分析[J].空天技术,2023(4):52-58.
[75]黄国强,陆宇平,南英.飞行器轨迹优化数值算法综述[J].中国科学(技术科学),2012,42(9):1016-1036.
[76]Mall K,Taheri E. Three-degree-of-freedom hypersonic reentry trajectory optimization using an advanced indirect method[J]. Journal of Spacecraft and Rockets, 2022,59(5):1463-1474.
[77]Leng J X,Shan Y,Wang Z G,et al. Investigation on factors influencing the range of boost-glide-cruise combined trajectories for scramjet-powered vehicles[J]. Energy,2025,317:134730.
[78]Wang J B,Cui N G,Wei C Z. Rapid trajectory optimization for hypersonic entry using convex optimization and pseudospectral method[J]. Aircraft Engineering and Aerospace Technology,2019,91(4):669-679.
[79]沈显照.基于改进JPDA的机弹分离目标跟踪技术[J].雷达与对抗,2023,43(3):13-17.
[80]Li Z B,Dong Q L,Zhang X Yet al. Impact angle-constrained integrated guidance and control for supersonic skid-to-turn missiles using backstepping with global fast terminal sliding mode control[J]. Aerospace Science&Technology,2022,122:107386.
[81]Sun Q C,Xu J J,Zhang H S. Guidance for hypersonic reentry using nonlinear model predictive control and radau pseudospectral method[J]. Optimal Control Applications and Methods,2025,46(4):1417-1428.
[82]Ding Y B,Yue X K,Chen G S. Review of control and guidance technology on hypersonic vehicle[J]. Chinese Journal of Aeronautics,2022,35(7):1-18.
[83]Song J,Luo Y X,Zhao M F,et al. Fault-tolerant integrated guidance and control design for hypersonic vehicle based on PPO[J]. Mathematics,2022,10(18):3401.
[84]Hu X X,Li A,Xiao B,et al. Integral reinforcement learning-based adaptive fuzzy fault tolerant control of hypersonic flight vehicle[J]. Transactions of the Institute of Measurement and Control, 2025, 47(8):1581-1593.
[85]Wang J,Zhang C,Zheng C M,et al. Adaptive neural network fault-tolerant control of hypersonic vehicle with immeasurable state and multiple actuator faults[J]. Aerospace Science and Technology,2024,152:109378.
[86]Lu X Y,Wang J Y,Wang Y H,et al. Neural network observer-based predefined-time attitude control for morphing hypersonic vehicles[J]. Aerospace Science and Technology,2024,152:109333.
[87]Liu M J,Hu C H,Pei H,et al. Adaptive fuzzy faulttolerant attitude control for a hypersonic gliding vehicle:A policy-iteration approach[J]. Actuators, 2024, 13(7):259.
[88]Ren B,Wang H L,Wu T C,et al. Neural-based online model-corrected prescribed-time composite antidisturbance control strategy for hypersonic flight vehicles[J]. Journal of the Franklin Institute. Engineering and Applied Mathematics,2025,362(13):107874.
[89]Xu S H, Wei C Z, Cai L G, et al. Neural networkbased adaptive optimal tracking control for hypersonic morphing aircraft with appointed-time prescribed performance[J]. Journal of the Franklin Institute. Engineering and Applied Mathematics,2024,361(12):107026.
[90]陶奕轩,李子豪,黄伟.高超声速飞行器自适应控制技术现状及发展[J].航空兵器,2025,32(4):29-43.
[91]Xu S H,Wei C Z,Zhang L T,et al. Neural network based adaptive nonsingular practical predefined-time fault-tolerant control for hypersonic morphing aircraft[J]. Chinese Journal of Aeronautics, 2024, 37(4):421-435.
[92]Dai P,Feng D Z,Feng W H,et al. Entry trajectory optimization for hypersonic vehicles based on convex programming and neural network[J]. Aerospace Science and Technology,2023,137:108259.
[93]Luo B,Sun J Y,Tang R,et al. Reinforcement learning-based 3D trajectory tracking control of hypersonic gliding vehicles with time-varying uncertainties[J].IEEE Transactions on Automation Science and Engineering,2025,22:8187-8199.
[94]Georgios P,Biskas P. Review and comparison of genetic algorithm and particle swarm optimization in the optimal power flow problem[J]. Energies, 2023, 16(3):1152.
[95]Sana S K,Hu W D. Hypersonic reentry trajectory planning by using hybrid fractional-order particle swarm optimization and gravitational search algorithm[J]. Chinese Journal of Aeronautics,2021,34(1):50-67.
[96]Wu T C,Wang H L,Liu Y H,et al. Learning-based interfered fluid avoidance guidance for hypersonic reentry vehicles with multiple constraints[J]. ISA Transactions,2023,139:291-307.
[97]肖柳骏,李雅轩,刘新福.基于强化学习的高超声速滑翔飞行器自适应末制导[J].兵工学报,2025,46(2):55-64.
[98]Wu Xia,Wei C S,Chen T Y,et al. On novel distributed fixed-time formation tracking of multiple hypersonic flight vehicles with collision avoidance[J]. Aerospace Science and Technology,2023,141:108517.
[99]Zhang Y Q,Yu J L,Ren Z,et al. The formation control based on the direction coordination for multiple hypersonic vehicles[C]. 2023 42nd Chinese Control Conference(CCC),Tianjin,China,2023-07-24.
[100]An K,Guo Z Y,Huang W,et al. A cooperative guidance approach based on the finite-time control theory for hypersonic vehicles[J]. International Journal of Aeronautical and Space Sciences, 2022, 23:169-179.
基本信息:
DOI:10.16338/j.issn.2097-0714.20250071
中图分类号:V22;V42
引用信息:
[1]李子豪,陶奕轩,黄伟.空射高超声速飞行器研究现状与发展[J].空天技术,2026,No.470(02):1-18.DOI:10.16338/j.issn.2097-0714.20250071.
基金信息:
航空科学基金项目(20220014079001)
2026-04-15
2026-04-15