Carla Cantore, Davide Monopoli, Angelo Altamura, A. Mengali, M. Grande
{"title":"An accurate and efficient numerical tool for the analysis and design of optical feeder links","authors":"Carla Cantore, Davide Monopoli, Angelo Altamura, A. Mengali, M. Grande","doi":"10.1109/MetroAeroSpace57412.2023.10189928","DOIUrl":"https://doi.org/10.1109/MetroAeroSpace57412.2023.10189928","url":null,"abstract":"The continuous demand for higher capacities as well as wider spectral bandwidth combined with the congestion of the RF licensed spectrum has drawn the attention to free-space optical (FSO) satellite networks. The exploitation of optical frequencies in the feeder link between ground stations and satellites will extend the terrestrial optical fiber network to space reaching a full optical network. In this scenario, this paper presents an accurate and efficient numerical tool able to support the analysis and design of optical feeder links (OFL), estimating links' performance in a computational efficient, flexible and accurate way taking into account the channel impact. As example, link budgets for GEO feeder link scenarios in uplink and downlink directions have been estimated through the developed tool. Among its capabilities, the tool makes use of a more accurate link distance evaluation, compared to the conventional approximation adopted in turbulence-related expressions, as well as the exact distance showing a relevant impact on the beam wander.","PeriodicalId":153093,"journal":{"name":"2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123023535","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}
{"title":"Impact detection on thin structures via machine learning approaches","authors":"F. Dipietrangelo, F. Nicassio, G. Scarselli","doi":"10.1109/MetroAeroSpace57412.2023.10190034","DOIUrl":"https://doi.org/10.1109/MetroAeroSpace57412.2023.10190034","url":null,"abstract":"In this study, machine learning algorithms are trained and compared to identify and characterise impacts effects on typical aerospace panels with different geometries. Experiments are conducted to create a suitable impact dataset. Polynomial regression algorithms and shallow neural networks are applied to panels without stringers and optimised to test their ability to identify the impacts. The algorithms are then applied to panels reinforced with stringers, which represents a significant increase in complexity in terms of the dynamic characteristics of the system under test. The focus is not only on the detection of the impact position, but also on the severity of the event. The aim of the work is to demonstrate the validity of the application of machine learning to impact localization on realistic structures and to demonstrate the simplicity and efficiency of the computations despite the complexity of the test specimens.","PeriodicalId":153093,"journal":{"name":"2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122106867","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}
Pawel Tomilo, J. Pytka, J. Józwik, E. Gnapowski, Tomasz Muszyński, A. Łukaszewicz
{"title":"Latent Neural Network For Recognition of Annomalies in 3D-Print of a Scale Model for Wind Tunnel Measurements","authors":"Pawel Tomilo, J. Pytka, J. Józwik, E. Gnapowski, Tomasz Muszyński, A. Łukaszewicz","doi":"10.1109/MetroAeroSpace57412.2023.10190049","DOIUrl":"https://doi.org/10.1109/MetroAeroSpace57412.2023.10190049","url":null,"abstract":"The paper concerns a new method of diagnosing and monitoring 3D printing processes based on measurements of kinematic parameters describing the movement of the 3D printer head. The aim of the research was to create a neural network model using unsupervised learning methods, whose task is to map signal characteristics (accelerometer and gyroscope data) to latent space. The measurement of significant quantities describing the kinematics of printer head movement was carried out during the execution of the given 3D print. The proposed latent artificial neural network algorithm was implemented in the microprocessor of the IMUMETER measuring device and tests were carried out during which the measuring system collected data and the neural network model mapped the features in such a way that it separated signals with anomalies from typical signals. The results allowed for the mapping of features and the analysis of the occurrence of anomalies on a sample printout of a wing section model for testing in a wind tunnel.","PeriodicalId":153093,"journal":{"name":"2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129302945","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}
Vittoria Di Fiore, C. Conte, V. Bottino, D. Accardo, G. Rufino, G. de Alteriis, F. Passaniti, D. Patti, D. Sanfilippo
{"title":"Innovative Airspeed Sensing Based on a Micromachined Sensor","authors":"Vittoria Di Fiore, C. Conte, V. Bottino, D. Accardo, G. Rufino, G. de Alteriis, F. Passaniti, D. Patti, D. Sanfilippo","doi":"10.1109/MetroAeroSpace57412.2023.10189995","DOIUrl":"https://doi.org/10.1109/MetroAeroSpace57412.2023.10189995","url":null,"abstract":"The adaptability of QVAR to integrate with inertial sensors makes it useful as an auxiliary sensor for navigation. It can assist in navigation under challenging GPS conditions by utilizing Dead Reckoning based on airspeed estimates and inertial data. Additionally, QVAR can enhance the accuracy of air data sensors by utilizing cross-sensor queuing with air data sensors. The innovative technology of QVAR offers significant advantages for navigation compared to traditional Pitot tubes. It eliminates the need for airspeed estimation inlets and serves as a low-cost digital sensor. Moreover, QVAR can be easily tested on remotely piloted aircraft systems. Its minimal requirements in terms of mass, size, power consumption, and complexity make it a highly promising solution for airspeed sensing, especially on platforms with limited available resources like small unmanned aircraft. The following paper presents the development of a prototypal sensor, namely Qvar, produced by STMicroelectronics and based on MEMS technology. A digital output has been derived, and several laboratory tests have been conducted to find a correlation between this output and the speed of airflow, with the aim to exploit the developed sensor for estimating the airspeed of a drone.","PeriodicalId":153093,"journal":{"name":"2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129727565","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}
{"title":"Determination of the accelerometer metrological characteristics on board the METRIC mission","authors":"A. Valmorbida, G. Anese, R. Peron, E. Lorenzini","doi":"10.1109/MetroAeroSpace57412.2023.10190021","DOIUrl":"https://doi.org/10.1109/MetroAeroSpace57412.2023.10190021","url":null,"abstract":"METRIC is a proposed mission that aims to improve the knowledge of atmospheric density, general relativity and geodesy. The mission foresees a small spherical satellite placed in a polar eccentric orbit, with the apogee at 1200 km of altitude and perigee at 400–450 km. The spacecraft will be tracked from ground and space and have an on-board 3-axis accelerometer. The accelerometer will measure non-gravitational accelerations (due mainly to neutral drag and solar radiation pressure). A dynamical simulator has been implemented with known models (e.g. higher-harmonics gravity field, upper atmosphere density, solar pressure) in order to estimate the non-gravitational accelerations acting on the satellite. These are then analyzed in order to extract their main characteristics: intensity and frequency spectrum. Consequently, an envelope for the accelerometer features - dynamic range, required accuracy and frequency bandwidth - can be set. The data collected by the accelerometer will be used, in combination with tracking data from GNSS and SLR, to improve the atmospheric density knowledge over a wide range of altitudes, to perform an accurate measurement of the orbital precessions predicted by general relativity and implement a space-based tie of geodetic reference frames.","PeriodicalId":153093,"journal":{"name":"2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130947583","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}
You Li, Wang Shuqiang, Hu Zhiyuan, Liu Biye, Li Xiating, Wei Ran
{"title":"Development of Precision Angle Position Indicator Based on Virtual Instruments","authors":"You Li, Wang Shuqiang, Hu Zhiyuan, Liu Biye, Li Xiating, Wei Ran","doi":"10.1109/MetroAeroSpace57412.2023.10189938","DOIUrl":"https://doi.org/10.1109/MetroAeroSpace57412.2023.10189938","url":null,"abstract":"This paper presents a new precision angle position indicator (API) which is developed based on virtual PXI instruments, with frequency range from 47 Hz to 20 kHz, providing angle measurement resolution up to 0.0001 º and uncertainty of less than 0.001º (17 μrad) on single channel-mode. The efficacy of this technique surpasses those of commercially available API products, thereby adequately addressing the evaluation and assessment requirements within the aeronautical and aerospace industries, particularly in calibration of synchro and resolver simulators, and electrical specification testing of synchors or resolvers.","PeriodicalId":153093,"journal":{"name":"2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116387131","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}
V. Memmolo, F. Romano, M. Ciminello, A. Sorrentino, E. Monaco, L. Maio, F. Ricci
{"title":"Design of Multi-level Structural Health Monitoring for Data Fusion in Real Scale Aerostructures","authors":"V. Memmolo, F. Romano, M. Ciminello, A. Sorrentino, E. Monaco, L. Maio, F. Ricci","doi":"10.1109/MetroAeroSpace57412.2023.10189967","DOIUrl":"https://doi.org/10.1109/MetroAeroSpace57412.2023.10189967","url":null,"abstract":"This paper present the application and challenges of a multi-sensory structural health monitoring-methodology on an industrial 5m long curved composite wing panel, for detecting barely visible impact damage based on integrated sensors data. Firstly, it presents a systematic design for a comprehensive structural health monitoring system for impact detection and related-damage characterization in complex aerostructures. The conceived approach relies on different technologies to offer multi-level diagnosis, including impact detection as well as damage identification, localization and sizing. The use of different excitation and sensing techniques (based on piezoelectric transducers, distributed fiber optic sensors and fiber Bragg gratings) deployed all over wing structures is explored towards continuous health management. The first design review carried out demonstrates the needs for multi-sensory information as well as the necessity of proper system to the fuse the information gathered from different sensors. Instead, the first experiments carried out independently at laboratory level showed promising results in detecting low-velocity impacts as well as characterizing barely visible damage occurring at structural level","PeriodicalId":153093,"journal":{"name":"2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127219899","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}
{"title":"Local Correlation Degree of Laser Speckle for Vibration Analysis","authors":"G. Spagnolo, F. Leccese","doi":"10.1109/MetroAeroSpace57412.2023.10190005","DOIUrl":"https://doi.org/10.1109/MetroAeroSpace57412.2023.10190005","url":null,"abstract":"Local correlation degree of laser speckle is advised for vibration analysis. If monochromatic light illuminates a rough surface, the radiation is scattered in a speckle pattern that depends on the light source and the geometry of the surface. Therefore, the study of the speckle pattern of a vibrating surface allows us to have information on the resonance frequencies and on the vibrational modes. In this paper, we propose a system, which is a variant of the DIC (Digital Image Correlation). Compared to DIC, it does not require that a speckled pattern to be “sprayed” on the sample. In our case, the speckle pattern is self-generated by illumination with coherent light. Our system can monitor the vibration modes of a surface brightened with laser light. By recording the speckle images, corresponding to the stationary state and when the surface is set in vibration, it is possible to reveal changes in the slant of the surface in real time. Therefore, one can individuate resonant frequencies and vibrational modes beacons. The planned system is cheap and user-friendly. Furthermore, it can also be used in operating conditions outside the laboratory. The work illustrates the technique and some experimental tests.","PeriodicalId":153093,"journal":{"name":"2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124417409","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}
{"title":"Heuristic Estimation of Temperature-Dependant Model Parameters of Li-Po Batteries for UAV Applications","authors":"A. Suti, G. Di Rito, Giuseppe Mattei","doi":"10.1109/MetroAeroSpace57412.2023.10190045","DOIUrl":"https://doi.org/10.1109/MetroAeroSpace57412.2023.10190045","url":null,"abstract":"This work deals with the system identification of Thevenin models of Li-Po batteries for UAV applications. Starting from the results of an experimental hybrid pulse-power characterization of a battery pack carried out at different temperatures (0°C, 15°C, 49°C) and within the operative range of state-of-charge (>10%), the model parameters are identified via three heuristic optimization algorithms, based on particle-swarm, teaching-learning and differential evolution techniques. Differently from conventional approaches typically applied by commercial CAE tools (e.g. Matlab), the proposed techniques are directly applied to the whole time history of the measurements. The results highlight that the particle-swarm method exhibits the fastest convergence, but it requires to initially define the algorithm weighing coefficients. This is not needed for teaching-learning based optimization, but computational effort strongly increases to achieve satisfactory accuracy. The differential evolution technique provides intermediate performances, especially if the total computation time is also considered. The case study is referred to the 1850 mAh/6 cells/22.2 V Li-Po battery pack employed in the lightweight fixed-wing UAV Rapier X-25, developed by Sky Eye Systems (Italy).","PeriodicalId":153093,"journal":{"name":"2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134310679","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}
Wen Xiao, Zonghui Chen, Peng Deng, Xiyu Liu, Lu Xin, Yakun Liu, Xiaosu Yi, Feng Pan
{"title":"Vibration Modal Assessment Using Acoustic Stimulation and Camera-Assisted Heterodyne Interferometry","authors":"Wen Xiao, Zonghui Chen, Peng Deng, Xiyu Liu, Lu Xin, Yakun Liu, Xiaosu Yi, Feng Pan","doi":"10.1109/MetroAeroSpace57412.2023.10189941","DOIUrl":"https://doi.org/10.1109/MetroAeroSpace57412.2023.10189941","url":null,"abstract":"Modal vibration analysis is crucial in dynamic analysis and has been extensively employed for structural damage detection and health monitoring. This paper proposes a nondestructive approach utilizing camera-based heterodyne interferometry and acoustic excitation for modal analysis, aiming to accurately identify a structure's modal parameters. Using a high-speed complementary metal oxide semiconductor (CMOS) camera, full-field images of a vibrating structure with high-density spatial resolution can be quickly captured and analyzed to obtain sufficient vibration response data for modal analysis through heterodyne interferometry. In the experiment, a beam's vibration response under random white noise excitation is detected with heterodyne interferometry to extract natural frequencies. Mode shapes are derived from the full-field vibration response determined by heterodyne interferometry using an acoustic wave at natural frequencies. The findings display a considerable consistency with results from finite element analysis (FEA) and laser Doppler vibrometry (LDV), indicating that the proposed method serves as an effective technique for vibration modal analysis.","PeriodicalId":153093,"journal":{"name":"2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122935415","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}