Aerospace Systems最新文献

Design optimization and computational validation of dual bell nozzle using ANN algorithm 基于人工神经网络的双钟形喷嘴设计优化及计算验证

Aerospace Systems Pub Date : 2025-06-02 DOI: 10.1007/s42401-025-00367-9

Taranjit Singh, Balaji Ravi

引用次数: 0

Multi-UAV maritime collaborative behavior modeling based on hierarchical deep reinforcement learning and DoDAF process mining 基于分层深度强化学习和DoDAF过程挖掘的多无人机海上协同行为建模

Aerospace Systems Pub Date : 2025-04-15 DOI: 10.1007/s42401-025-00358-w

Zehua Zou, Yuqian Wu, Ling Peng, Miao Wang, Guoqing Wang

{"title":"Multi-UAV maritime collaborative behavior modeling based on hierarchical deep reinforcement learning and DoDAF process mining","authors":"Zehua Zou, Yuqian Wu, Ling Peng, Miao Wang, Guoqing Wang","doi":"10.1007/s42401-025-00358-w","DOIUrl":"10.1007/s42401-025-00358-w","url":null,"abstract":"<div><p>Autonomous systems, particularly in multi-UAV maritime operations, are becoming increasingly complex, posing significant challenges to dynamically modeling based on traditional systems engineering modeling methods. This paper proposes an innovative data-driven approach that combines deep reinforcement learning and process mining with Department of Defense Architecture Framework (DoDAF) views to learn and extract dynamic multi-UAV collaborative behaviors. First, a hierarchical multi-agent reinforcement learning framework is developed to simulate high-value complex maritime UAV collaboration, where agents learn implicit high-level task selection patterns while executing predefined low-level behaviors. Then, a DoDAF-oriented process mining algorithm is designed, which is the key innovation, to automatically extract DoDAF operational view-5b diagrams from learned behavioral pattern data. The experimental validation demonstrates this method excels at systematically extracting dynamic multi-UAV collaborative behaviors. The proposed approach could effectively bridge the gap between AI-based implicit behavior pattern learning and system engineering-based explicit behavior modeling requirement, contributing to the development of interpretable autonomous system and discovering effective collaborative behavior tactics.</p></div>","PeriodicalId":36309,"journal":{"name":"Aerospace Systems","volume":"8 2","pages":"447 - 466"},"PeriodicalIF":0.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145165340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic modelling and longitudinal dynamic characteristics simulation of morphing missile 变形导弹动力学建模与纵向动态特性仿真

Aerospace Systems Pub Date : 2025-03-19 DOI: 10.1007/s42401-025-00342-4

Xueting Pan, Honghao Yue, Shufeng Liu, Yanbing Wang, Fei Yang, Yifan Lu

{"title":"Dynamic modelling and longitudinal dynamic characteristics simulation of morphing missile","authors":"Xueting Pan, Honghao Yue, Shufeng Liu, Yanbing Wang, Fei Yang, Yifan Lu","doi":"10.1007/s42401-025-00342-4","DOIUrl":"10.1007/s42401-025-00342-4","url":null,"abstract":"<div><p>This paper presents a morphing missile with an expandable flared skirt, which aims to change aerodynamic shape according to the change of flight environment to improve flight efficiency. The morphing missile with an expandable flared skirt is regarded as a multi-rigid-body system, and the six-degree-of-freedom(6-DOF) nonlinear dynamic model of the missile is established considering the changes of aerodynamic force, mass distribution, and inertia characteristics during morphing. In order to investigate the longitudinal dynamic characteristics of the missile, the nonlinear dynamic model is de-coupled to obtain its longitudinal motion equation. The aerodynamic parameters of the missile in the whole flight state envelope are simulated by quasi-steady assumption, and the aerodynamic coefficients under different flight environments and flared opening angles are obtained. The aerodynamic coefficients obtained from the simulation at each operating point are fitted to the flight altitude, Mach number, and the morphing rate of the flared skirt by the least square method. Finally, the parametric model of the aerodynamic coefficients is obtained. Finally, the aerodynamic coefficient function model is introduced into the longitudinal motion equation of the missile, and the longitudinal dynamic characteristics of the missile in different flight conditions are obtained by numerical simulation. The simulation results show that the morph of the flared skirt has a significant influence on the longitudinal motion characteristics of the missile.</p></div>","PeriodicalId":36309,"journal":{"name":"Aerospace Systems","volume":"8 2","pages":"283 - 294"},"PeriodicalIF":0.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145144455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Boundary criterion of vortex ring state for axially descending BO-105 rotor based on unsteady momentum source method 基于非定常动量源法的BO-105转子轴向下降涡环状态边界判据

Aerospace Systems Pub Date : 2025-02-27 DOI: 10.1007/s42401-024-00340-y

Yanqing Qi, Gaohua Li, Fuxin Wang

引用次数: 0

Sound field reconstruction of aero-engine fans using hierarchical Bayesian algorithms 基于层次贝叶斯算法的航空发动机风扇声场重建

Aerospace Systems Pub Date : 2025-02-07 DOI: 10.1007/s42401-025-00345-1

Bohan Ma, Meng Wang, Mingsui Yang, Wei Ma

{"title":"Sound field reconstruction of aero-engine fans using hierarchical Bayesian algorithms","authors":"Bohan Ma, Meng Wang, Mingsui Yang, Wei Ma","doi":"10.1007/s42401-025-00345-1","DOIUrl":"10.1007/s42401-025-00345-1","url":null,"abstract":"<div><p>Acoustic field reconstruction for aircraft engine fans is essential for effective noise reduction. However, the use of a limited number of far-field measurement points in the reconstruction process exacerbates the ill-posedness issues, which necessitates the adoption of regularization techniques. The hierarchical Bayesian-based regularisation method has recently been applied to solve the equivalent source intensity distribution and reconstruct the sound field. However, previous methods have failed to accurately obtain the acoustic modal coefficients of the sound source, which are essential for determining the radiation type and directivity. This paper proposes a sound field reconstruction method that applies the hierarchical Bayesian algorithm to the source modal coefficient solution. Firstly, the deconvolution beamforming method obtains the sound source position. Subsequently, the hierarchical Bayesian algorithm is employed to obtain the source modal coefficients of the sound field, thereby completing the reconstruction of the sound field in the far-field region. Experimental results indicate that the proposed algorithm is highly effective in reconstructing far-field sound fields. Under free-field conditions and in mid-high frequency ranges, the average reconstruction error can be significantly reduced by using a few far-field microphones compared to traditional methods.</p></div>","PeriodicalId":36309,"journal":{"name":"Aerospace Systems","volume":"8 2","pages":"257 - 274"},"PeriodicalIF":0.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145142589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A conceptual approach to ensure the reliability of separation devices for promising launch vehicles without using pyrotechnics 在不使用烟火的情况下保证有前途运载火箭分离装置可靠性的概念方法

Aerospace Systems Pub Date : 2025-02-03 DOI: 10.1007/s42401-025-00346-0

Sergey O. Firsyuk, Vladimir Yu. Ermakov, Ant Tufan, Aleksey V. Kurguzov

引用次数: 0

An intelligent energy management system for enhanced performance in electric UAVs 一种用于增强电动无人机性能的智能能源管理系统

Aerospace Systems Pub Date : 2025-01-26 DOI: 10.1007/s42401-025-00343-3

Mohamed S. Elkerdany, Ibrahim M. Safwat, Ahmed Medhat M. Youssef, Mohamed M. Elkhatib

{"title":"An intelligent energy management system for enhanced performance in electric UAVs","authors":"Mohamed S. Elkerdany, Ibrahim M. Safwat, Ahmed Medhat M. Youssef, Mohamed M. Elkhatib","doi":"10.1007/s42401-025-00343-3","DOIUrl":"10.1007/s42401-025-00343-3","url":null,"abstract":"<div><p>Unmanned aerial vehicles (UAVs) propelled by electricity have emerged as a prominent concept in aviation due to their eco-friendly and stealth characteristics. To address the limitations of Polymer Membrane Fuel Cell (PMFC), which serve as the primary power source but exhibit sluggish responses to sudden load changes, this research proposes a novel hybrid power system incorporating a Li-Ion battery. This hybrid setup ensures superior dynamic response while maintaining high power-to-weight efficiency. This paper presents an intelligent energy management system (EMS), which effectively regulates power flow between the PMFC and Li-Ion battery through a multi-input multi-output (MIMO) control framework. The uniqueness of this study lies in the comparative evaluation of two advanced EMS control strategies: Fuzzy Logic Control and the Adaptive Neuro-Fuzzy Inference System (ANFIS), under multiple flight modes. By thoroughly analyzing system transients and dynamic behaviors using MATLAB/SIMULINK, this work provides a detailed insight into optimizing UAV power efficiency. Unlike previous studies, this research highlights the distinct advantages and limitations of each control strategy for different flight phases, providing a comprehensive benchmark for future EMS designs in UAV applications.</p></div>","PeriodicalId":36309,"journal":{"name":"Aerospace Systems","volume":"8 3","pages":"701 - 716"},"PeriodicalIF":0.0,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145057677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Systematic computational probe of Fish Bone Morphing geometry for optimal airfoil performance 鱼骨变形几何优化翼型性能的系统计算探针

Aerospace Systems Pub Date : 2025-01-23 DOI: 10.1007/s42401-024-00339-5

Ritesh Mane, Mansi Sharma, Yash Mahore, Rinku, Rohit Kumar Prasad, Challa Parvathi Rudesh

{"title":"Systematic computational probe of Fish Bone Morphing geometry for optimal airfoil performance","authors":"Ritesh Mane, Mansi Sharma, Yash Mahore,  Rinku, Rohit Kumar Prasad, Challa Parvathi Rudesh","doi":"10.1007/s42401-024-00339-5","DOIUrl":"10.1007/s42401-024-00339-5","url":null,"abstract":"<div><p>This study investigates the potential of Fish Bone Morphing (FBM) technology for enhancing the aerodynamic performance of aerofoils. FBM is a bio-inspired concept that incorporates flexible structural elements to facilitate morphing of the aerofoil shape in response to varying flight conditions. The NACA 2412 aerofoil is chosen for its camber adaptability, and CFD simulations are employed to assess the efficacy of FBM integration. The k–ω SST turbulence model is adopted for its ability to combine the strengths of the k–ω and k–ε models. The investigation encompasses a systematic exploration of geometric configurations, including trailing edge deflection at various chord lengths (0.6c, 0.65c, 0.70c, 0.75c, and 0.80c) and deflection angles (4°, 8°, and 12°). The results reveal that FBM aerofoils exhibit a consistent increase in maximum lift coefficient compared to conventional aerofoils across all deflection points and angles. Additionally, improvements in lift-to-drag ratio are observed. Furthermore, the stalling angle remains unaffected by deflection point variations, while deflection angle increments lead to corresponding increases in maximum lift coefficient. The morphing aerofoil with a 0.60c deflection point demonstrates the most significant enhancement in maximum lift coefficient, achieving a 13% increase at a 12° deflection angle. These findings establish the aerodynamic efficiency of FBM aerofoils, characterized by superior lift-to-drag ratios and increased maximum lift coefficients.</p></div>","PeriodicalId":36309,"journal":{"name":"Aerospace Systems","volume":"8 3","pages":"683 - 699"},"PeriodicalIF":0.0,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145057725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A graph reinforcement learning framework for real-time distributed multi-robot task allocation 面向实时分布式多机器人任务分配的图强化学习框架

Aerospace Systems Pub Date : 2025-01-23 DOI: 10.1007/s42401-024-00334-w

Dian Zhang, Peng Dong, Pai Peng, Yubo Dong

{"title":"A graph reinforcement learning framework for real-time distributed multi-robot task allocation","authors":"Dian Zhang, Peng Dong, Pai Peng, Yubo Dong","doi":"10.1007/s42401-024-00334-w","DOIUrl":"10.1007/s42401-024-00334-w","url":null,"abstract":"<div><p>Dynamic multi-robot task allocation (MRTA) requires real-time responsiveness and adaptability to rapidly changing conditions. Existing methods, primarily based on static data and centralized architectures, often fail in dynamic environments that require decentralized, context-aware decisions. To address these challenges, this paper proposes a novel graph reinforcement learning (GRL) architecture, named Spatial-Temporal Fusing Reinforcement Learning (STFRL), to address real-time distributed target allocation problems in search and rescue scenarios. The proposed policy network includes an encoder, which employs a Temporal-Spatial Fusing Encoder (TSFE) to extract input features and a decoder uses multi-head attention (MHA) to perform distributed allocation based on the encoder’s output and context. The policy network is trained with the REINFORCE algorithm. Experimental comparisons with state-of-the-art baselines demonstrate that STFRL achieves superior performance in path cost, inference speed, and scalability, highlighting its robustness and efficiency in complex, dynamic environments.</p></div>","PeriodicalId":36309,"journal":{"name":"Aerospace Systems","volume":"8 1","pages":"105 - 116"},"PeriodicalIF":0.0,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s42401-024-00334-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical analysis of longitudinal stability for twin-boom UAVs with different tail configurations 不同尾翼构型双臂无人机纵向稳定性数值分析

Aerospace Systems Pub Date : 2025-01-23 DOI: 10.1007/s42401-025-00344-2

Xiaolu Wang, Yingyu Liu, Changning Chen, Xuancheng Meng, Mingqiang Luo

引用次数: 0