关于未来战斗机发展的若干讨论

doi:10.7527/S1000-6893.2020.24377

Abstract

Abstract: Recent years have witnessed extensive discussions on the change of warfare forms and the development of post-4th generation fighters against the background of great power competition and batches of 4th generation fighters entering service. This paper reviews the origin of fighter generation classification and the driving elements behind each generational leap, outlining the evolution of Observe, Orient, Decision, Act (OODA) loops for air combat and proposing the essence of OODA 3.0. After a summary of the supportive and progressive relations among mechanization, informatization and intelligentization, it explores the dialectical relationship among autonomy and manned/unmanned, as well as that among platform, system of systems, and distributed operation, followed finally by a discussion of an agile and efficient development approach of future fighters.

Key words: fighters, generations, air combat, OODA, intelligentization

CLC Number:

V271

YANG Wei. Development of future fighters[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(6): 524377-524377.

References 45

[1]	TIRPAK J A. Air force creates new PEO for NGAD, applying "Digital Century Series" idea[EB/OL]. (2019-10-14)[2020-06-02]. http://airforcemag.com/Features/Pages/2019/October%202019/Air-Force-Creates-New-PEO-for-NGAD-Applying-Digital-Century-Series-Idea.aspx.
[2]	Department of the Air Force. Department of Defense Fiscal Year (FY) 2021 budget estimates air force jus-tification book Volume 2 of 3 Research, development, test & evaluation[EB/OL]. (2020-02-12)[2020-06-02]. https://www.saffm.hq.af.mil/Portals/84/documents/FY21/RDTE_/FY21%20Air%20Force%20Research%20Development%20Test%20and%20Evaluation%20Vol%20II.pdf?ver=2020-02-12-145218-377.
[3]	GUNZINGER M, REHBERG C, JACOB C. An air force for an era of great power competition[R]. Washington, D.C.:Center for Strategic and Budgetary Assessments, 2019.
[4]	GUNZINGER M, REHBERG C, AUTENRIED L. Five priorities for the air force's future combat air force[R]. Washington, D.C.:Center for Strategic and Budgetary Assessments, 2020.
[5]	Air Power. The@usairforce plans to spend MYM11+ Bn, b/w FY 2019 and FY2025, to develop and mature tech-nologies related to the Next Generation Air Dominance and Next Generation Adaptive Propulsion solutions[EB/OL]. (2020-02-29)[2020-04-17].https://twitter.com/MIL_STD/status/1233561215974232066/photo/1.
[6]	GRYNKEWICH B G A. An operational imperative:the future of air superiority[R]. Mitchell:Mitchell Institute, 2017.
[7]	吴鸿遥,钟玲燕. 变后掠机翼的最近发展[J]. 现代航空, 1963, 11:1. WU H Y,ZHONG L Y. Recent development of varia-ble-sweep wings[J]. Modern Aviation, 1963, 11:1(in Chinese).
[8]	GARWIN R, AMLIE T, GREENE T E, et al. Fighter aircraft report of the defense science board task force Volume II:basic report:050868FAD1[R]. Washington, D.C.:Office of the Director of Defense Research and Engineering, 1968.
[9]	HIDMA A. Fighter requirements and developments:A74-38793[R]. Netherland:Netherlands Association of Aeronautical Engineers, 1974.
[10]	GRASSET P. Dogfighting makes a comeback[J]. Interavia, 1974, 12:1188-1191.
[11]	刘真. 幻影-2000[J]. 航空知识, 1979(2):18-19. LIU Z. Mirage-2000[J]. Aerospace Knowledge, 1979(2):18-19(in Chinese).
[12]	TAYLOR J. Future combat aircraft conference pro-ceedings[M]. London:Jane's Publishing Company Limited, 1987.
[13]	BOYNE W. Generation gap[J]. Code One, 2005(4).
[14]	MOTT W H. F-15A versus F/A-22 initial operational capability:A Case for transformation:MP-36[R]. Alabama:Air University Press, 2005.
[15]	Committee on Armed Services. Hearings Before the Committee on Armed Services United States Senate One Hundred Ninth Congress Second Session on S. 2766 to authorize appropriations for fiscal year 2007 for military activities of the Department of Defense, for military construction, and for defense activities of the Department Of Energy, to prescribe personnel strengths for such fiscal year for the Armed Forces, and for other purposes, PART 4:AIRLAND:S.HRG. 109-827[R]. Washington, D.C.:Committee on Armed Services, 2006.
[16]	STILLION J, PERDUE S. Air combat past, present and future[EB/OL]. (2008-12-10)[2020-04-17]. https://www.defenseindustrydaily.com/files/2008_RAND_Pacific_View_Air_Combat_Briefing.pdf.
[17]	BENITEZ M. F-15EX:The strategic blind spot in the air force's fighter debate[EB/OL]. (2019-10-07)[2020-06-02]. https://warontherocks.com/2019/06/F-15ex-the-strategic-blind-spot-in-the-air-forces-fighter-debate/.
[18]	USAF. Next Generation Tactical Aircarft (Next Gen TACAIR) Capability Request for Information (CRFI) version 1.01[EB/OL]. (2010-11-11)[2020-06-07]. https://www.fbo.gov/Next_Gen_TACAIR_CRFI_(V1_0)_10-18-2010.doc.
[19]	Air Superiority 2030(AS 2030) Enterprise Capability Collaboration Team (ECCT). Air superiority 2030 flight plan[R]. USAF, 2016.
[20]	BOYD J R. The essence of winning and losing[EB/OL]. (2016-03-13)[2020-06-07]. https://danford.net/boyd/essence.htm.
[21]	SCHUCK T. OODA loop 2.0 information, not agility, is life[J]. Alumni Magazine, 2017(8):55-58.
[22]	PINNEY C. Avionics architecture definition version 1.0:94J280/574[R]. Arlington:Joint Advanced Strike Technology Program, 1994.
[23]	BLASCH E, HANSELMAN P. Information fusion for information superiority[C]//Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. Piscataway:IEEE Press, 2000:290-297.
[24]	SHEILA B, CARL S. Lizza pilot's associate "a cooperative, knowledge-based system application"[R]. Washington, D.C.:Wright-Patterson Air Force Base, 1991.
[25]	ERNEST N, CARROLL D. Genetic fuzzy based artificial intelligence for unmanned combat aerial vehicle control in simulated air combat missions[J]. Journal of Defense Management, 2016(6):1.
[26]	RUTH D, PAUL N. Summer study on autonomy[R]. Washington, D.C.:Defense Science Board, 2016
[27]	KALLBERG J. Supremacy by accelerated warfare through the comprehension barrier and beyond:Reaching the zero domain and cyberspace singularity[EB/OL]. (2018-12-18)[2020-02-25]. https://cyberdefensereview.army.mil/Portals/6/Documents/CDR%20Journal%20Articles/Fall%202018/KALLBERG_CDR_V3N3.pdf?ver=2018-12-18-101631-953.
[28]	CARTER A B. Autonomy in weapon systems:DOD directive 3000.09[S]. Washington, D.C.:Department of Defense, 2012.
[29]	CLOUGH B T. Metrics, schmetrics! How the heck do you determine a uav's autonomy anyway?"[C]//Proceedings of the Performance Metrics for Intelligent Systems Workshop, 2002.
[30]	ILACHINSKI A. AI, robots, and swarms (issues, questions, and recommended studies)[R]. Center for Naval Analyses (CAN), 2017.
[31]	2019 The United States Air Force artificial intelligence annex to the department of defense artificial intelli-gence strategy[R]. Washington D.C.:Department of the Air Force, 2019.
[32]	ZACHARIAS G L. Autonomous horizons:The way forward[R]. Washington D.C.:Office of the USAF Chief Scientist, 2019.
[33]	JAMES D L, WELSH M A. Air force future operating concept-A view of the air force in 2035[R]. 2015.
[34]	GRANT R. U.S. air dominance in a fiscally-constrained environment:Defining paths to the future tactical aircraft and the preservation of U.S. air dominance[R]. Arlington:Lexington Institute, 2013.
[35]	TIRPAK J A. Saving air superiority[J/OL]. Air Force Magazine, 2017, 100(4). https://www.airforcemag.com/article/saving-air-superiority/.
[36]	Director, Systems and Software Engineering. Systems engineering guide for systems of systems, Version 1.0[M]. Washington, D.C.:Office of the Deputy Under Secretary of Defense for Acquisition and Technology, Systems and Software Engineering, 2008:3-6.
[37]	GRAYSON T. Mosaic warfare[EB/OL]. (2018-07-27)[2020-04-16]. https://www.darpa.mil/attachments/STO-Mosaic-Distro-A.pdf.
[38]	DEPTULA D A, PENNEY H R, STUTZRIEM L A. Restoring America's military competitiveness:Mosaic warfare[M]. Arlington:The Mitchell Institute for Aerospace Studies, 2019:34-36.
[39]	CURTIS E. Lemay center for doctrine development and education. Reachback and distributed operations[EB/OL]. (2018-01-28)[2020-04-17].http://www.doctrine.af.mil/Portals/61/documents/Annex_3-30/3-30-D09-C2-Distributed-vs-Split-Ops.pdf.
[40]	张文宇. 分布式作战与其中的航空装备[EB/OL]. (2018-09-20)[2020-04-17]. http://www.cannews.com.cn/2018/0907/181844.shtml. ZHANG W Y. Distributed operations and aviation equipment[EB/OL]. (2018-09-20)[2020-04-17].http://www.cannews.com.cn/2018/0907/181844.shtml. (in Chinese)
[41]	SMITH N. Munitions directorate overview to industry:10-AFRL_RW_BFI-PACA-2015[R]. Wright-Patterson AFB OH:Air Force Research Laboratory, 2015.
[42]	GPO. National defense authorization act for fiscal year 2016:PUBLIC LAW 114-92-NOV. 25[S]. Washington, D.C.:GPO, 2015:882-885.
[43]	INSINNA V. The US Air Force's radical plan for a future fighter could field a jet in 5 years[EB/OL]. (2019-09-16)[2020-04-17]. https://www.defensenews.com/digital-show-dailies/2019/09/16/the-us-air-forces-radical-plan-for-a-future-fighter-could-field-a-jet-in-5-years/.
[44]	LORD E M. Operation of the middle tier of acquisition (Mta):DOD instruction 5000.80[S]. Washington, D.C.:Office of the Under Secretary of Defense for Acquisition and Sustainment, 2019:3-4.
[45]	MITRE Acquisition Disrupter (MAD) Team. Middle Tier of Acquisition (MTA)[EB/OL]. (2019-07-23)[2020-03-26].https://aida.mitre.org/wp-content/uploads/2019/07/Middle-Tier-oF-Acquisition-23-Jul-19.pdf.

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