Journal of Aerospace Information Systems最新文献_第7页

Optimal Service Migration for Data and Reasoning Fabric 数据与推理结构的最优业务迁移

4区工程技术

Journal of Aerospace Information Systems Pub Date : 2023-11-01 DOI: 10.2514/1.i011120

Vahram Stepanyan, Stefan Schuet, Kalmanje Krishnakumar

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Data-Driven Diagnosis of Multicopter Thrust Fault Using Supervised Learning with Inertial Sensors 基于惯性传感器监督学习的多旋翼推力故障数据驱动诊断

4区工程技术

Journal of Aerospace Information Systems Pub Date : 2023-11-01 DOI: 10.2514/1.i011256

Taegyun Kim, Seungkeun Kim, Hyo-Sang Shin

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Dynamic Targeting to Improve Earth Science Missions 动态瞄准改进地球科学任务

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Journal of Aerospace Information Systems Pub Date : 2023-11-01 DOI: 10.2514/1.i011233

Alberto Candela, Jason Swope, Steve A. Chien

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Attitude Takeover Control of Failed Spacecraft via Leader–Followers Adaptive Cooperative Game 基于领导-追随者自适应合作博弈的失效航天器姿态接管控制

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Journal of Aerospace Information Systems Pub Date : 2023-11-01 DOI: 10.2514/1.i011242

Huai-Ning Wu, Mi Wang

{"title":"Attitude Takeover Control of Failed Spacecraft via Leader–Followers Adaptive Cooperative Game","authors":"Huai-Ning Wu, Mi Wang","doi":"10.2514/1.i011242","DOIUrl":"https://doi.org/10.2514/1.i011242","url":null,"abstract":"In this paper, the problem of microsatellites-based adaptive cooperative game attitude takeover control for a failed spacecraft is investigated. Specifically, a manned microsatellite (leader) and a team of autonomous microsatellites (followers) are ordered to cooperate to complete the attitude control task in an optimal way, in which the control strategy and the cost function (or intent) of the leader are unknown to the followers. Based on the differential game (DG) theory, the microsatellites-based attitude takeover control problem is formulated as a cooperative DG, in which each microsatellite has the individual cost function. A key problem is that the followers must infer the leader’s intent first, that is, retrieve the weighting matrix of the cost function of the leader. To achieve this, a composite adaptive law is introduced for each follower to estimate the feedback gain matrix of the leader by using system state data and the cost functions of other followers; based on this, the leader’s intent is inferred online by minimizing a residual error. Then, the cooperative game control law of each follower is designed by itself, and the Pareto equilibrium of the DG system is achieved. Finally, the effectiveness of the proposed leader–followers adaptive cooperative game control method is verified by a simulation study.","PeriodicalId":50260,"journal":{"name":"Journal of Aerospace Information Systems","volume":"180 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136371512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games 群对群对抗性游戏的协调团队策略

4区工程技术

Journal of Aerospace Information Systems Pub Date : 2023-11-01 DOI: 10.2514/1.i011226

Laura G. Strickland, Matthew C. Gombolay

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Simultaneous Motion Replanning and Gravity Model Refinement near Small Solar System Bodies 太阳系小天体同步运动重规划和重力模型改进

4区工程技术

Journal of Aerospace Information Systems Pub Date : 2023-11-01 DOI: 10.2514/1.i011200

Aditya Savio Paul, Michael Otte

{"title":"Simultaneous Motion Replanning and Gravity Model Refinement near Small Solar System Bodies","authors":"Aditya Savio Paul, Michael Otte","doi":"10.2514/1.i011200","DOIUrl":"https://doi.org/10.2514/1.i011200","url":null,"abstract":"Strategic missions to orbit celestial bodies have primarily considered spacecraft trajectories as a two-step process: capture of the spacecraft within the gravitational influence of the body, followed by in-orbit maneuvers. Moreover, a priori maneuver planning approaches using Earth-based measurements tend to generate motion plans that have little scope of replanning, especially when the spacecraft is in the body’s vicinity. Fine-grained motion plans that respond to mission conditions require a detailed understanding of the gravitational forces around the body, which can provide essential information about the body. Our research focuses on a problem variant where the orbital maneuvers are designed to continually refine the onboard gravitational model of the body while simultaneously using the model to perform increasingly smoother orbital maneuvers. We develop a receding horizon approach. Starting with a (low-fidelity) gravity model created from Earth-based observations, the gravity model is continually updated as the spacecraft experiences varying gravitational forces. The updated model is simultaneously and continually used to replan the craft’s trajectory, ensuring that successive maneuvers respect the most up-to-date gravity model. The motion plan eventually attains a near-stable orbital motion. Such an approach has the potential to expand to autonomous missions to improve the mapping and exploration of smaller bodies.","PeriodicalId":50260,"journal":{"name":"Journal of Aerospace Information Systems","volume":"70 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134995915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning 基于物理信息深度学习的飞行器不确定参数识别

4区工程技术

Journal of Aerospace Information Systems Pub Date : 2023-10-26 DOI: 10.2514/1.i011269

Kyung-Mi Na, Chang-Hun Lee

{"title":"Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning","authors":"Kyung-Mi Na, Chang-Hun Lee","doi":"10.2514/1.i011269","DOIUrl":"https://doi.org/10.2514/1.i011269","url":null,"abstract":"This paper presents the estimation method for uncertain parameters in flight vehicles, especially missile systems, based on physics-informed neural networks (PINNs) augmented with a novel integration-based loss. The proposed method identifies four types of structured uncertainty: burnout time, rocket motor tilt angle, location of the center of pressure, and control fin bias, which significantly affect the missile performance. In the estimation framework, as neural networks (NNs) are updated, these uncertainties are also identified simultaneously because they are also included in the structure of NNs. After testing 100 simulation data, the average estimation errors are within 1% of the mean value for each type of uncertainty. The methodology is able to identify the parameters despite noise corruption in the time-series data. Compared with the conventional PINNs, adding the new loss based on the integration of differential equations yields a more reliable estimation performance for all types of uncertainty. This approach can be effective for complex systems and ill-posed inverse problems, which makes it applicable to other aerospace systems.","PeriodicalId":50260,"journal":{"name":"Journal of Aerospace Information Systems","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134907266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging Machine Learning for Generating and Utilizing Motion Primitives in Adversarial Environments 利用机器学习在对抗环境中生成和利用运动原语

4区工程技术

Journal of Aerospace Information Systems Pub Date : 2023-10-26 DOI: 10.2514/1.i011283

Zachary C. Goddard, Rithesh Rajasekar, Madhumita Mocharla, Garrett Manaster, Kyle Williams, Anirban Mazumdar

{"title":"Leveraging Machine Learning for Generating and Utilizing Motion Primitives in Adversarial Environments","authors":"Zachary C. Goddard, Rithesh Rajasekar, Madhumita Mocharla, Garrett Manaster, Kyle Williams, Anirban Mazumdar","doi":"10.2514/1.i011283","DOIUrl":"https://doi.org/10.2514/1.i011283","url":null,"abstract":"Motion primitives enable fast planning for complex and dynamic environments. Adversarial environments pose a particularly challenging and unpredictable scenario. Motion-primitive-based planners have the potential to provide benefit in these types of environments. The key challenge is to design a library of maneuvers that effectively capture the necessary capabilities of the vehicle. This work presents a primitive-based game tree search to solve adversarial games in continuous state and action spaces and applies a reinforcement learning framework to autonomously generate effective primitives for the given task. The results demonstrate the ability of the learning framework to produce maneuvers necessary for competing against adversaries. Furthermore, we propose a method for learning a model to estimate the state-dependent value of each motion primitives and demonstrate how to incorporate this model to increase planning performance under time constraints. Additionally, we compare our primitive-based algorithm against forward simulated methods from existing literature and highlight the benefits of motion primitives.","PeriodicalId":50260,"journal":{"name":"Journal of Aerospace Information Systems","volume":"47 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135016607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prefetch and Push Method of Flight Information Based on Migration Workflow 基于迁移工作流的航班信息预取与推送方法

4区工程技术

Journal of Aerospace Information Systems Pub Date : 2023-10-24 DOI: 10.2514/1.i011197

Tao Xu, Youchao Sun

{"title":"Prefetch and Push Method of Flight Information Based on Migration Workflow","authors":"Tao Xu, Youchao Sun","doi":"10.2514/1.i011197","DOIUrl":"https://doi.org/10.2514/1.i011197","url":null,"abstract":"As the architecture of aircraft cockpit panels becomes more complicated and more flight data are placed onto the panels, trainee pilots require more time during flight training to learn and comprehend flight information. This problem lengthens flight training time and raises costs. This paper proposes a mechanism for prefetching and pushing flight information to facilitate flight training for trainee pilots. This paper addresses the challenges of a high quantity of data and the chaotic time-series relationship between distinct data in flight sequence data by building a migration workflow model in the aircraft cockpit environment and getting flight data with shorter time intervals. Then the flight data are input into the Multilayer Perceptron Long Short-Term Memory (MLP-LSTM) prediction algorithm, which generates the prompt operation information and prediction information by analyzing the current flight data and predicting flight data of next stage. A case study of the takeoff stage is given. The experimental results of the prediction algorithm are given, which prove that the time-series flight data refined by the migration workflow model and MLP-LSTM algorithm have a better prediction effect compared with the LSTM algorithm.","PeriodicalId":50260,"journal":{"name":"Journal of Aerospace Information Systems","volume":"26 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135266574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improved Nonlinear Statistical Photocalibration of Photodetectors Without Calibrated Light Sources 无标定光源光电探测器的改进非线性统计光定标

4区工程技术

Journal of Aerospace Information Systems Pub Date : 2023-10-18 DOI: 10.2514/1.i011211

Stephen C. Cain

{"title":"Improved Nonlinear Statistical Photocalibration of Photodetectors Without Calibrated Light Sources","authors":"Stephen C. Cain","doi":"10.2514/1.i011211","DOIUrl":"https://doi.org/10.2514/1.i011211","url":null,"abstract":"The calibration of charge coupled device arrays is commonly conducted using dark frames. Nonabsolute calibration techniques only measure the relative response of the detectors. A recent attempt at creating a procedure for calibrating a photodetector using the underlying Poisson nature of the photodetection statistics that relied on a nonlinear model was shown to be successful but was highly susceptible to the readout noise present in the measurement. This effort produced the nonlinear statistical nonuniformity calibration (NLSNUC) algorithm, which demonstrated an ability to better model the output of photodetector array elements than similar techniques that relied on a linear model. In this paper, a modified three-point NLSNUC photocalibration procedure is defined that requires only first and second moments of the measurements and allows the response to be modeled using a nonlinear function over the dynamic range of the detector. The modified NLSNUC technique is applied to image data containing a light source with a known output power. Estimates of the number of photoelectrons measured by the detector are shown to be superior to those obtained by the original NLSNUC algorithm as well as other statistical calibration techniques that do not utilize a calibrated light source.","PeriodicalId":50260,"journal":{"name":"Journal of Aerospace Information Systems","volume":"875 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135884630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0