主管单位:中华人民共和国工业和信息化部
主办单位:西北工业大学  中国航空学会
地       址:西北工业大学友谊校区航空楼
面向飞行器能量最优的架构优化方法
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作者单位:

航空工业西安飞行自动控制研究所 创新中心

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中图分类号:

V221

基金项目:

基于高效人机交互的多无人机智能自主(WDZC2024601A01)


Energy-Oriented Architecture Optimization Method for Aircraft
Author:
Affiliation:

1.AVIC Xi'AN Flight Automatic Control Research Institute Xi’An,710076 China;2.National Key Laboratory of Aircraft Integrated Control Xi’An,710076 China

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    摘要:

    多电/全电飞行器通常面临着系统间耦合复杂性、整体能量效率及经济平衡性等问题。提出一种面向飞行器能量最优的架构优化方法,通过定义架构优化流程与框架,明确架构优化空间的定义逻辑及简化规则;选取对多电/全电飞行器性能影响最大的能量与质量作为优化目标,构建优化评估标准体系;结合多目标离散智能优化算法,实现系统架构的有效评估与优化;以某型飞机进行多电化开发为目标,开展该优化方法的应用实践,对其在提升能量和优化系统配置方面的有效性进行验证。结果表明:本文方法解决了传统设计理念在复杂飞行场景下的局限性,有效提升了系统的开发效率,适用于未来多电/全电飞行器的开发与设计。

    Abstract:

    With the emerging trend of multi-electric/ all-electric vehicles, more and more researchers are engaged in this field. However, the coupling complexity, overall energy efficiency and economic balance of multi-electric/ all-electric vehicle systems are becoming more and more important. Traditional design experience is difficult to apply in the context of new technologies, resulting in increased R D costs and extended R D cycles. In order to meet the above challenges, an energy-optimal architecture optimization method for aircraft is proposed in this paper. By defining architecture optimization process and framework, the definition logic and simplification rules of architecture optimization space are defined. Among many parameters, the energy and weight which have the greatest influence on the performance of all-electric multi-electric vehicle are selected as optimization targets, and the optimization evaluation standard system is established. Combined with multi-objective discrete intelligent optimization algorithm, the effective evaluation and optimization of system architecture are realized. Aiming at the multi-electric development of a certain aircraft, the application practice of this optimization method is carried out, which verifies its effectiveness in improving energy and optimizing system configuration, solves the limitation of traditional design concept in complex flight scenarios, and provides a basis for future research and development of multi-electric/ all-electric aircraft. It provides important theoretical support and engineering guidance

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宋一川,谯富祥,罗易格,张闻乾,周成.面向飞行器能量最优的架构优化方法[J].航空工程进展,2025,16(6):184-192

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历史
  • 收稿日期:2025-04-07
  • 最后修改日期:2025-06-11
  • 录用日期:2025-07-03
  • 在线发布日期: 2025-09-23
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