飞行器结构智能化研究及其发展趋势

智能化是飞行器结构发展的重要趋势,文中介绍了飞行器结构的智能化需求及其发展状况。阐述了飞行器的典型结构健康监测方法及其技术特征,讨论了飞行器主动变形结构的实现方法与途径,结合国内外研究情况,指出了飞行器结构智能化的可实现前景。

3D Trajectory Planning of Positioning Error Correction Based on PSO-A* Algorithm

Aiming at the yaw problem caused by inertial navigation system errors accumulation during the navigation of an intelligent aircraft,a three-dimensional trajectory planning method based on the particle swarm optimization-A star(PSO-A*)algorithm is designed.Firstly,an environment model for aircraft error correction is established,and the trajectory is discretized to calculate the positioning error.Next,the positioning error is corrected at many preset trajectory points.The shortest trajectory and the fewest correction times are regarded as optimization goals to improve the heuristic function of A star(A*)algorithm.Finally,the index weights are continuously optimized by the particle swarm optimization algorithm.The optimal trajectory is found by the A*algorithm under the current evaluation index,so the ideal trajectory is planned.The experimental results show that the PSO-A*algorithm can quickly search for ideal trajectories in different environment models,indicating that the algorithm has certain feasibility and adaptability,and verifies the rationality of the proposed trajectory planning model.The PSO-A*algorithm has better convergence accuracy than the A*algorithm,and the search efficiency is significantly better than the grid search A star(GS-A*)algorithm.The PSO-A*algorithm proposed in this paper has certain engineering application value.The researchers will study the real-time and systematic nature of the algorithm.

防空战术C^3I系统开发中的几个问题

战术C3I系统研制开发,既需要概念、理论的指导,又需要现实装备的支持。因此,依据系统研制开发的历史和现实,重新审视概念、理论很有必要。以战术防空情报指挥系统现实为背景,简短地回顾了国内防空战术C3I系统发展的历史,结合工程实践经验和体会,对C3I的一些概念作了新的认识。同时针对防空战术C3I系统中关键问题:包括体系结构,情报开发,智能化等提出了一些看法。旨在对防空战术C3I系统近期开发有所裨益。

5G技术在全机疲劳强度试验中的应用研究

随着航空装备需求的不断发展,新材料、新工艺不断涌现,飞机结构强度试验与验证技术面临诸多新的挑战。作为网络化与智能化关键手段之一,5G技术有利于推动强度试验技术的创新与变革。首先,简要介绍当前全尺寸飞机结构强度试验技术现状及发展趋势,同时深入研究全机强度试验未来发展需求,提出基于5G技术的全机结构强度试验新模式;然后,基于5G技术在全机强度试验技术发展中的特点和优势,构建试验核心场景与5G技术生态关联矩阵,规划基于5G技术的典型试验场景;最后,以某型机疲劳强度试验为平台进行试验巡检和监测场景中基于5G技术的试验系统研制和应用验证。结果表明:基于5G技术的智能化设施能够显著提升试验水平,对全机强度试验智能化发展具有重要意义。

航空发动机管理信息系统研究

针对现行航空发动机管理存在的问题,提出进行航空发动机管理信息系统的研究和开发。本文分析了发动机管理信息系统采用的B/S模式的优点,阐述了系统的基本要求,设计了系统的主要功能。该系统具有较高的军事经济效益。

智能化背景下美军无人机作战发展研究

智能化背景下,无人机作战具有新的更大的优势。美军率先展开对无人机作战概念及运用的研究。文章介绍了美军有/无人机协同作战和无人机蜂群作战运用模式和发展状况,并对美军无人机智能作战技术下一步发展进行了探究。

Multi-dimensional and Multi-threshold Airframe Damage Region Division Method Based on Correlation Optimization

In order to obtain the image of airframe damage region and provide the input data for aircraft intelligent maintenance,a multi-dimensional and multi-threshold airframe damage region division method based on correlation optimization is proposed.On the basis of airframe damage feature analysis,the multi-dimensional feature entropy is defined to realize the full fusion of multiple feature information of the image,and the division method is extended to multi-threshold to refine the damage division and reduce the impact of the damage adjacent region’s morphological changes on the division.Through the correlation parameter optimization algorithm,the problem of low efficiency of multi-dimensional multi-threshold division method is solved.Finally,the proposed method is compared and verified by instances of airframe damage image.The results show that compared with the traditional threshold division method,the damage region divided by the proposed method is complete and accurate,and the boundary is clear and coherent,which can effectively reduce the interference of many factors such as uneven luminance,chromaticity deviation,dirt attachment,image compression,and so on.The correlation optimization algorithm has high efficiency and stable convergence,and can meet the requirements of aircraft intelligent maintenance.

民机企业档案库房智能化管理对档案信息资源开发与利用的几点探究

国内的民用飞机企业目前仍然沿用传统的档案库房的建造设计和管理方式,随着计算机网络集成化和人工智能(AI)在民用飞机上的使用和发展,民用飞机企业的档案库房管理也开始学习和构想智能化的管理方式。本文从民机企业档案库房的现状开始展开论述,重点论述民机企业档案库房智能化改造对档案信息资源开发与利用的必要性和民机企业档案库房智能化的主要功能。

PHM技术在飞机装配单元中的运用

为了提高飞机装配的精度,对飞机装配单元采用预测与健康管理(Prognostics and Health Management,PHM)技术进行了分析,阐述该技术的应用背景和现状,总结了技术应用思路,分别介绍PHM系统结构和智能装配单元结构。最后以尾翼制孔装配单元为例,总结了PHM技术的应用要点,从而确定应用该技术对于飞机装配单元的优势,以期能够为今后飞机装配智能化目标的实现提供助力。