Intelligent and Digital Design of Aircraft and Spacecraft (Submission Deadline: June 15, 2026)
智能飞行器设计与数字化
| Chair: |
Co-chair: |
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| Jiaying Zhang |
Chen Wang |
| Beihang University, China |
Nanjing University of Aeronautics and Astronautics, China |
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| Keywords: |
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- Aerospace Cross-domain (跨域飞行器设计)
- Intelligent Flight (智能飞行力学)
- Intelligent Propulsion (智能推进)
- Smart Material and Morphing Structures (智能材料和结构)
- Smart Aerodynamics (智能空气动力学)
- AI-enabled Modelling (AI数智设计)
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| Topics: |
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- Smart and morphing aircraft (智能与变体飞行器)
- Smart aircraft aerodynamics, intelligent propulsion, and conceptual design (智能飞机空气动力学、智能推进与概念设计)
- AI-enhanced digital engineering for aviation system design (人工智能增强的航空系统设计数字工程)
- AI for systems engineering in aviation (航空系统工程中的人工智能)
- Smart material and morphing structures (智能材料与变体结构)
- AI-enabled flight dynamics modelling, control and decision-making (基于人工智能的飞行动力学建模、控制与决策)
- Aerospace cross-domain and intelligent flight (航空航天跨域与智能飞行)
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| Summary: |
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- This organization systematically addresses seven research directions centered on smart and morphing aircraft technologies. First, it focuses on overall configurations of smart and morphing aircraft, as well as smart aircraft aerodynamics, intelligent propulsion, and conceptual design. Building on this foundation, AI‑enhanced digital engineering and AI for systems engineering in aviation support the full development lifecycle. A key emphasis is placed on smart materials and morphing structures. The work further develops AI‑enabled flight dynamics modeling, control, and decision‑making, culminating in aerospace cross‑domain and intelligent flight capabilities. These interrelated directions aim to establish a theoretical and technological framework for next‑generation intelligent aircraft.
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- 本组织围绕智能与变体飞行器技术，系统开展七大方向的研究：首先聚焦智能与变体飞行器总体构型及智能飞机空气动力学、智能推进与概念设计；在此基础上，采用人工智能增强的数字工程与航空系统工程方法支撑全生命周期开发；重点突破智能材料与变体结构的设计与应用；并发展基于AI的飞行动力学建模、控制与决策技术，最终实现航空航天跨域与智能飞行能力。各方向相互支撑，旨在构建下一代智能飞行器设计理论与关键技术体系。
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