飞行器智能设计愿景与关键问题

doi:10.7527/S1000-6893.2020.24752

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飞行器智能设计愿景与关键问题

李霓, 布树辉, 尚柏林, 李永波, 汤志荔, 张伟伟

西北工业大学航空学院, 西安 710072

收稿日期:2020-09-14 修回日期:2020-10-23 发布日期:2020-12-25
通讯作者: 张伟伟 E-mail:aeroelastic@nwpu.edu.cn
基金资助:
国家自然科学基金（62003272）；装备预先研究基金（61400040503）；陕西省自然科学基础研究计划（2020 JM-113）；西北工业大学新型交叉学科方向专项资金（19SH0304）

Aircraft intelligent design: Visions and key technologies

LI Ni, BU Shuhui, SHANG Bolin, LI Yongbo, TANG Zhili, ZHANG Weiwei

School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China

Received:2020-09-14 Revised:2020-10-23 Published:2020-12-25
Supported by:
National Natural Science Foundation of China (62003272); Equipment Pre-research Foundation (61400040503); Natural Science Fundamental Research Plan in Shaanxi Province of China (2020 JM-113); Research Funds for Interdisciplinary Subject, NWPU (19SH0304)

摘要/Abstract

摘要： 未来飞行器正朝着多元化、无人化和智能化的方向发展，高超声速、超隐身和变体等新型飞行器不断涌现。而传统飞行器解耦分拆的设计方法越来越难以满足未来飞行器综合性能全面提升的要求，只有通过整体化设计才能充分发掘飞行器的潜能。通过分析传统飞行器设计中存在的问题，提出满足全生命周期要求的飞行器智能设计体系理念，利用知识库的构建将智能赋予飞行器平台系统设计、制造生产和运维这3个阶段，并通过数字孪生技术进行飞行器全生命周期的仿真、分析和预测，以对飞行器设计、运行等数据进行更新，使该体系形成闭环。就飞行器智能设计体系中需要的关键技术及涉及的科学问题等进行了讨论，并给出了未来发展方向以供参考。

关键词: 飞行器, 智能设计, 人工智能, 机器学习, 全生命周期

Abstract: Nowadays, the aircraft has been more and more autonomous and intelligent, and their missions have been more complex. Various types of aircraft have been developing, such as hyper sonic aircraft, highly stealth aircraft, and morphing aircraft. Thus, to fully achieve the comprehensive performance of the aircraft, an intelligent and multidisciplinary-integrated design process needs to be developed to improve the traditional decoupled design process. In this paper, the problems existing in the traditional aircraft design process are firstly discussed. Then, an intelligent and full-life-cycle aircraft design framework is proposed. In this closed-loop aircraft design framework, the knowledge base is applied to connect the stages of design, manufacturing, and operation and maintenance. The intelligent digital twin technology is employed to simulate, analyze and predict the states of aircraft, so as to update the data needed in the process of aircraft design and operation. The key technologies and basic scientific questions are discussed, and suggestions on the intelligent aircraft design process are given.

Key words: aircraft design, intelligent design, artificial intelligence, machine learning, full life cycle

中图分类号:

李霓, 布树辉, 尚柏林, 李永波, 汤志荔, 张伟伟. 飞行器智能设计愿景与关键问题[J]. 航空学报, 2021, 42(4): 524752-524752.

LI Ni, BU Shuhui, SHANG Bolin, LI Yongbo, TANG Zhili, ZHANG Weiwei. Aircraft intelligent design: Visions and key technologies[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(4): 524752-524752.

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