{"title":"Recent advancements in morphing applications: Architecture, artificial intelligence integration, challenges, and future trends-a comprehensive survey","authors":"Md. Najmul Mowla , Davood Asadi , Tahir Durhasan , Javad Rashid Jafari , Mohammadreza Amoozgar","doi":"10.1016/j.ast.2025.110102","DOIUrl":"10.1016/j.ast.2025.110102","url":null,"abstract":"<div><div>This study provides a comprehensive review of recent advancements in aerospace morphing technologies, focusing on integrating artificial intelligence (AI) into morphing architectures. It emphasizes AI's pivotal role in optimizing these systems, particularly through machine learning (ML), deep learning (DL), and reinforcement learning (RL), to enhance real-time adaptability, performance, and efficiency. The review categorizes developments in smart materials, compliant mechanisms, and adaptive structures, offering a detailed analysis of their architectural foundations. It further examines AI-driven aerodynamic optimization and control systems, highlighting recent solutions to structural integrity, energy efficiency, and scalability challenges. Key contributions since 2020 are synthesized through a year-by-year analysis, offering a clear overview of the research landscape. The paper also addresses emerging challenges in aerospace morphing and proposes strategies to alleviate them. Recommendations for future advancements emphasize the integration of state-of-the-art technologies. By critically evaluating current capabilities and limitations, this review provides valuable insights for researchers and practitioners, identifying AI's transformative potential in morphing systems and outlining the technical challenges that must be addressed for future morphing aerospace applications.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"161 ","pages":"Article 110102"},"PeriodicalIF":5.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143535292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuandong Chen , Xiaoning Wang , Dehao Xu , Jianchun Wang
{"title":"The correlations between the thermodynamic variables in hypersonic turbulent boundary layers of a lifting body","authors":"Yuandong Chen , Xiaoning Wang , Dehao Xu , Jianchun Wang","doi":"10.1016/j.ast.2025.110087","DOIUrl":"10.1016/j.ast.2025.110087","url":null,"abstract":"<div><div>The correlations between thermodynamic variables in hypersonic turbulent boundary layers around a lifting body are comprehensively investigated through direct numerical simulations. By utilizing the Kovasznay decomposition, the fluctuating density and temperature are decomposed into acoustic and entropic modes. The traveling-wavelike alternating positive and negative structures are identified for the fluctuating pressure and acoustic modes of density and temperature, whereas the streaky structures are observed in the fluctuating entropy and entropic modes of the density and temperature near the wall. Both the acoustic and entropic modes of density and temperature make a significant contribution to the correlations of these variables in the near-wall region, whereas the entropic modes play a predominant role in the far-wall region. The strong correlation between fluctuating entropy and fluctuating density and temperature in the far-wall region is primarily attributed to the dominance of the entropic modes in these variables. The statistical properties and correlations of thermodynamic variables in the windward vortex region exhibit noticeable variations along the streamwise direction, characterized by an increase in entropy modes and decrease in acoustic modes. By contrast, the windward cross-flow region demonstrates stronger isotropy than the windward vortex region, as evidenced by minimal variations in the fluctuations and correlation coefficients of thermodynamic variables along the streamwise direction.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"161 ","pages":"Article 110087"},"PeriodicalIF":5.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yutong Zhu, Mingdong Hou, Siyang Sheng, Zhihong He, Shikui Dong
{"title":"Full Infrared band shock layer radiation noise analysis of a high-speed vehicle at high altitude based on virtual detection array method","authors":"Yutong Zhu, Mingdong Hou, Siyang Sheng, Zhihong He, Shikui Dong","doi":"10.1016/j.ast.2025.110070","DOIUrl":"10.1016/j.ast.2025.110070","url":null,"abstract":"<div><div>In this study, an algorithm was developed for analyzing the infrared radiation noise of aircraft shock layer flow fields based on virtual detection arrays. The spatial-spectral characteristics and influencing factors of infrared radiation noise in the 1–25 μm range in shock layer flow fields at high altitudes (40–80 km) was investigated. By comparing two flight trajectories, the contribution of different molecules (air chemical components NO, NO<sub>2</sub>, OH, and atmospheric trace components CO<sub>2</sub>, H<sub>2</sub>O, CO) as sources to radiation noise, the spatial distribution patterns of radiation noise, and the relationship between radiation noise and trajectory characteristics were analyzed. The results show that: (1) In terms of the spectral characteristics of radiation noise, the atmospheric trace component CO<sub>2</sub> is identified as the strongest contributor to spectral radiation noise in both trajectories, with concentrations in 2.0–2.2 μm, 2.6–3.0 μm, 4.15–4.5 μm and 15 μm, while the shock layer chemical component NO is recognized as the second strongest radiation source, primarily concentrated in the 5–6 μm range. (2) In terms of spatial distribution patterns, the band irradiance in different positions of the blunt cone region decays exponentially along the streamline direction. (3) In terms of the magnitude of radiation noise, the band irradiance in the 3–5 μm band can be three orders of magnitude higher than that in the 8–12 μm band. (4) The band irradiance in the 40 km-50 km airspace of the low trajectory is determined to be one order of magnitude higher than that in the 50 km-80 km airspace of the high trajectory, with atmospheric pressure being identified as the main contributing factor.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"161 ","pages":"Article 110070"},"PeriodicalIF":5.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143526634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Minghao Zhang , Bifeng Song , Xiaojun Yang , Liang Wang , Xinyu Lang
{"title":"Development of the minimal biorobotic stealth distance and its role in optimizing direct-drive dragonfly-inspired aircraft design","authors":"Minghao Zhang , Bifeng Song , Xiaojun Yang , Liang Wang , Xinyu Lang","doi":"10.1016/j.ast.2025.110044","DOIUrl":"10.1016/j.ast.2025.110044","url":null,"abstract":"<div><div>Advancements in electronic technology and control algorithms have enabled precise flight control techniques, transforming bionic aircraft from principal imitation to comprehensive resemblance. This paper introduces the Minimal Biorobotic Stealth Distance (MBSD), a novel quantitative metric to evaluate the bionic resemblance of biorobotic aircraft. Current technological limitations prevent dragonfly-inspired aircraft from achieving optimal performance at biological scales. To address these challenges, we use the DDD-1 dragonfly-inspired aircraft, a hover-capable direct-drive aircraft, to explore the impact of the MBSD on aircraft design.</div><div>Key contributions of this research include (1) the establishment of the MBSD as a quantifiable and operable evaluation metric that influences aircraft design, integrating seamlessly with the overall design process and providing a new dimension for optimizing bionic aircraft, balancing mechanical attributes and bionic characteristics; (2) the creation and analysis of a typical aircraft in the following directions: its coupling relationship with existing performance metrics (Longest Hover Duration and Maximum Instantaneous Forward Flight Speed), multi-objective optimization, and application in a typical mission scenario; (3) the construction and validation of a full-system model for the direct-drive dragonfly-inspired aircraft, demonstrating the design model's effectiveness against existing aircraft data.</div><div>The findings highlight the MBSD's role in enhancing the operational capabilities of biorobotic aircraft and provide a systematic approach for optimizing design and performance in biomimetic aerial vehicles.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"161 ","pages":"Article 110044"},"PeriodicalIF":5.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guanyu Lai , Shizhuan Zou , Hanzhen Xiao , Zhaodong Su , Kai Huang , C.L. Philip Chen
{"title":"Fixed-time adaptive fault-tolerant control with predefined tracking accuracy for satellite systems","authors":"Guanyu Lai , Shizhuan Zou , Hanzhen Xiao , Zhaodong Su , Kai Huang , C.L. Philip Chen","doi":"10.1016/j.ast.2025.110088","DOIUrl":"10.1016/j.ast.2025.110088","url":null,"abstract":"<div><div>The development of space technology put forward higher demands on the satellite position tracking control, i.e., the system steady states behavior and transient performance. However, due to the presence of unknown dynamics uncertainties and actuator failures, the control performance of traditional adaptive control schemes is unsatisfactory. In this work, we study the position tracking control problem of uncertain nonlinear satellite systems in the presence of unknown actuator failures, which is a challenging problem when a predefined tracking accuracy and a fixed convergence time are required simultaneously. To overcome the difficulties, a backstepping recursive design based on smooth functions is proposed, and well combined with adaptive actuator failure compensation approach, based on which a prescribed fixed-time adaptive fault-tolerant control scheme is developed. With our scheme, it can be rigorously proved that all closed-loop signals are bounded, and the position-related tracking errors converge to predefined intervals in a bounded settling time regardless of the occurrence of actuator failures. The effectiveness of the proposed scheme is verified by a simulation tests based on a practical geostationary earth orbit satellite.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"161 ","pages":"Article 110088"},"PeriodicalIF":5.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maosen Shao , Sihuan Wu , Lidong Wang , Sifan Wu , Hui Wang , Zhilin He , Mingpei Lin , Jinxiu Zhang
{"title":"Adaptive wind direction strategy for neuro-network-based active disturbance rejection control of tandem twin-rotor aerial-aquatic vehicle","authors":"Maosen Shao , Sihuan Wu , Lidong Wang , Sifan Wu , Hui Wang , Zhilin He , Mingpei Lin , Jinxiu Zhang","doi":"10.1016/j.ast.2025.110089","DOIUrl":"10.1016/j.ast.2025.110089","url":null,"abstract":"<div><div>The novel slender aerial-aquatic vehicle (AAV) with slender fuselages enhances underwater maneuverability compared to traditional AAVs, which prioritize aerodynamic efficiency. However, these novel vehicles face challenges in positioning accuracy and energy consumption due to rotor control coupling and the significant differences in frontal and lateral surface areas, especially under crosswind and wave interference in open sea areas. This paper proposes an adaptive wind direction (AWD) strategy, combined with the active disturbance rejection control (ADRC) based on a radial basis function (RBF) neural network to enhance positioning accuracy and reduce energy consumption. Firstly, the mathematical models of the slender AAV, varying wind fields and waves are established. Subsequently, an ADRC law is designed for the attitude and position control of the AAV, where an RBF-based Extended State Observer (ESO) is used for disturbance observation instead of the traditional ESO. Then, the adaptive wind direction strategy is employed. This strategy utilizes wind disturbance characteristics, disturbance observations and body surface area parameters to calculate the wind field angle. Based on this angle, the attitude is adjusted to minimize interference. Finally, simulations validated the effectiveness and robustness of the designed ADRC control law based on the RBF ESO. After applying the adaptive wind disturbance strategy, positioning accuracy improved by 2 to 10 times, and energy consumption decreased by 20 % to 80 %, compared to the neural network-based active disturbance rejection control that does not utilize adaptive wind direction strategy.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"161 ","pages":"Article 110089"},"PeriodicalIF":5.0,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xinwei Chen, Miaosheng He, Yuan Ji, Bin Yu, Wei Wang, Hong Liu
{"title":"Mechanism of the isolator compression constraint on the operating boundary of a dual-mode scramjet engine","authors":"Xinwei Chen, Miaosheng He, Yuan Ji, Bin Yu, Wei Wang, Hong Liu","doi":"10.1016/j.ast.2025.110086","DOIUrl":"10.1016/j.ast.2025.110086","url":null,"abstract":"<div><div>To uncover the mechanism by which the isolator length instigates the high- and low-speed performance conflict of the dual-mode scramjet (DMSJ) engine, a comprehensive thermodynamic cycle analysis of the DMSJ engine has been conducted, and two basic design perspectives for isolator length selection are considered. Results show that, aiming to optimize the specific impulse at the upper operating Mach number (UOM) under design perspective I yields an isolator length (<em>L</em>/<em>H</em>) as short as 0.65, which leads to significantly inadequate specific thrust at the lower operating Mach number (LOM), highlighting challenges in extending the DMSJ engine's lower operating boundary. Conversely, aiming to optimize the specific thrust at the LOM under design perspective II necessitates an isolator length as long as 16.7, resulting in a 60 % reduction of the specific impulse compared to the optimized specific impulse at the UOM. This underscores the challenges in extending the DMSJ engine's upper operating boundary. Comparative analysis further reveals that reducing the UOM proves far more effective than increasing the LOM to mitigate the conflict. Additionally, the adverse effect of low-dynamic-pressure combustion on the DMSJ engine's high- and low-speed performance conflict calls attention to the strong coupling effect between low-dynamic-pressure combustion and isolator pressurization, encouraging further study on the mechanism.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"160 ","pages":"Article 110086"},"PeriodicalIF":5.0,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling and full-speed range transition strategy for a compound helicopter","authors":"Luofeng Wang , Renliang Chen , Xin Xie , Ye Yuan","doi":"10.1016/j.ast.2025.110092","DOIUrl":"10.1016/j.ast.2025.110092","url":null,"abstract":"<div><div>Compound helicopters are faced with the problem of transition from low-speed helicopter mode to high-speed airplane mode. This study presents a comprehensive flight dynamics model and a full-speed range transition strategy, focusing on Compound Helicopters with Double Propeller Propulsion (CHDPP). In order to consider aerodynamic interactions efficiently, the model integrates classic modeling theories with a simplified imposed rotor wake model and a modified rotor-wing aerodynamic interaction model. The design of the full-speed range transition strategy utilizes a double-layer iterative approach based on the trim method with control redundancy. The inner iteration ensures uniform control surface effectiveness through control surface allocation, while the outer iteration ensures safety and satisfactory handling quality by improving transition paths. We developed a 12 kg CHDPP prototype as the sample CHDPP and carried out a wind tunnel trim experiment for model validation. The results show that the presented model can eliminate correction factors while maintaining sufficient accuracy. The obtained full-speed range transition strategy can ensure safety, cockpit input effectiveness while avoiding abrupt changes and counterintuitive variations in trim characteristics. Furthermore, since the modeling technique is independent of correction factors and the transition strategy design method is not dependent on a specific helicopter configuration in nature, they can be extended to various compound helicopter configurations, eventually providing a robust tool for the development of compound helicopters.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"160 ","pages":"Article 110092"},"PeriodicalIF":5.0,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhancing air traffic complexity assessment through deep metric learning: A CNN-Based approach","authors":"Haiyan Chen , Zhihui Zhou , Lingxiao Wu , Yirui Fu , Dabin Xue","doi":"10.1016/j.ast.2025.110090","DOIUrl":"10.1016/j.ast.2025.110090","url":null,"abstract":"<div><div>Air traffic complexity is related to the workload of air traffic control officers and pilots, subsequently leading to potential effects on flight safety and efficiency. However, assessing air traffic complexity accurately is still a question in the concept of Air Traffic Management (ATM). In this study, a model for air traffic complexity assessment is proposed based on deep metric learning. Specifically, the air traffic data collected by surveillance radars are adopted to generate the air traffic image set, from which air traffic features are extracted based on the Convolutional Neural Networks (CNN) model. After that, the deep metric learning method based on Asymmetric distance, Aggregation loss, and Edge hard loss, called AAEDM, is applied to address the problem of class imbalance in air traffic images. Finally, the traffic complexity assessment model is proposed based on AAEDM. The proposed model is validated through comprehensive experimentation using two established standard datasets. The results of these experiments indicate the outstanding proficiency of AAEDM, particularly in scenarios involving unbalanced data. The proposed model can extract deeper features of air traffic than traditional machine learning methods, outperforming other models for air traffic complexity assessment. This study can help assess air traffic complexity and improve the robustness of the ATM system.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"160 ","pages":"Article 110090"},"PeriodicalIF":5.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Experimental and numerical investigation on the spraying performance of an agricultural unmanned aerial vehicle","authors":"Arash Divazi , Rasoul Askari , Ehsan Roohi","doi":"10.1016/j.ast.2025.110083","DOIUrl":"10.1016/j.ast.2025.110083","url":null,"abstract":"<div><div>This study uses numerical and experimental methods to investigate the impact of propeller-atomizer distance on the spraying performance of agricultural unmanned aerial vehicles (UAVs). A one-propeller-atomizer setup under crosswind conditions is analyzed to generalize findings for any UAV. The numerical approach employs the finite volume method (FVM) in Ansys Fluent, utilizing an Eulerian-Lagrangian framework, the SST k-ω turbulence model, and the multiple reference frame (MRF) technique for steady flow field and unsteady particle tracking. The model incorporates the propeller, atomizer, crosswind, and ground effect interactions. The influence of propeller-atomizer distance on spraying performance was evaluated through a series of high-resolution tracking simulations on three test cases. The results were experimentally validated using smoke and laser sheet visualization to track particle behavior. Results reveal a strong correlation between propeller-atomizer distance and spraying efficiency, highlighting key factors such as coverage, particle distribution, and penetrability. These findings enable improvements in UAV-based plant protection, enhancing droplet coverage, distribution, penetration, and mixing. The study suggests manufacturers consider integrating telescopic mechanisms for adjustable propeller-atomizer distances to optimize performance. If a fixed distance is required, medium-distance settings are recommended to effectively accommodate both short and tall plants. This research provides valuable insights for optimizing UAV spraying systems and advancing agricultural precision and efficiency.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"160 ","pages":"Article 110083"},"PeriodicalIF":5.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143518933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}