{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T08:28:13Z","timestamp":1760171293997,"version":"build-2065373602"},"reference-count":32,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2023,5,11]],"date-time":"2023-05-11T00:00:00Z","timestamp":1683763200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>To perform Earth observations, low-Earth orbit (LEO) satellites require attitude maneuvers, which can be classified into two types: maintenance of a target-pointing attitude and maneuvering between target-pointing attitudes. The former depends on the observation target, while the latter has nonlinear characteristics and must consider various conditions. Therefore, generating an optimal reference attitude profile is difficult. Mission performance and satellite antenna position-to-ground communication are also determined by the maneuver profile between the target-pointing attitudes. Generating a reference maneuver profile with small errors before target pointing can enhance the quality of the observation images and increase the maximum possible number of missions and accuracy of ground contact. Therefore, herein we proposed a technique for optimizing the maneuver profile between target-pointing attitudes based on data-based learning. We used a deep neural network based on bidirectional long short-term memory to model the quaternion profiles of LEO satellites. This model was used to predict the maneuvers between target-pointing attitudes. After predicting the attitude profile, it was differentiated to obtain the time and angular acceleration profiles. The optimal maneuver reference profile was obtained by Bayesian-based optimization. To verify the performance of the proposed technique, the results of maneuvers in the 2\u201368\u00b0 range were analyzed.<\/jats:p>","DOI":"10.3390\/s23104650","type":"journal-article","created":{"date-parts":[[2023,5,11]],"date-time":"2023-05-11T01:37:24Z","timestamp":1683769044000},"page":"4650","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Generating Low-Earth Orbit Satellite Attitude Maneuver Profiles Using Deep Neural Networks"],"prefix":"10.3390","volume":"23","author":[{"given":"Seok-Teak","family":"Yun","sequence":"first","affiliation":[{"name":"Division of KOMPSAT-7 Program, Korea Aerospace Research Institute, Daejeon 34133, Republic of Korea"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/S1007-0214(10)70068-7","article-title":"Two-Stage Identification Method for Attitude-Control Models of On-Orbit Satellites","volume":"15","author":"Geng","year":"2020","journal-title":"Tsinghua Sci. Technol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1177","DOI":"10.1109\/TAES.2020.3042629","article-title":"Influence of Attitude Parameters on Image Quality of Very High-Resolution Satellite Telescopes","volume":"57","author":"Wahballah","year":"2021","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1436","DOI":"10.1109\/TIE.2016.2611576","article-title":"A Structure Simple Controller for Satellite Attitude Tracking Maneuver","volume":"64","author":"Xiao","year":"2017","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1109\/TCST.2002.806450","article-title":"An LMI-Based Nonlinear Attitude Control Approach","volume":"11","author":"Show","year":"2003","journal-title":"IEEE Trans. Control Syst. Technol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"164362","DOI":"10.1109\/ACCESS.2019.2951170","article-title":"The Attitude Control Algorithm of Agile Optical Satellite Oriented to Nonparallel-Ground-Track-Imaging","volume":"7","author":"Zhao","year":"2019","journal-title":"IEEE Access"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1184","DOI":"10.2514\/3.21523","article-title":"Near-Minimum-Time Eigenaxis Rotation Maneuvers Using Reaction Wheels","volume":"18","author":"Steyn","year":"1995","journal-title":"J. Guid. Control Dyn."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"96","DOI":"10.2514\/2.4854","article-title":"Rapid Multitarget Acquisition and Pointing Control of Agile Spacecraft","volume":"25","author":"Wie","year":"2002","journal-title":"J. Guid. Control Dyn."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"935","DOI":"10.2514\/3.20927","article-title":"Comparison between Robustified Feedforward and Feedback for Achieving Parameter Robustness","volume":"15","author":"Wie","year":"1992","journal-title":"J. Guid. Control Dyn."},{"key":"ref_9","first-page":"76","article-title":"Preshaping Command Inputs to Reduce System Vibration","volume":"112","author":"Singer","year":"1990","journal-title":"Trans. ASME"},{"key":"ref_10","first-page":"91","article-title":"Lyapunov Optimal Control Law for Flexible Space Structure Maneuver and Vibration Control","volume":"41","author":"Bang","year":"1993","journal-title":"J. Astronaut. Sci."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Jardak, N., and Jault, Q. (2022). The Potential of LEO Satellite-Based Opportunistic Navigation for High Dynamic Applications. Sensors, 22.","DOI":"10.3390\/s22072541"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.ast.2019.04.007","article-title":"Task Scheduling and Attitude Planning for Agile Earth Observation Satellite with Intensive Tasks","volume":"90","author":"Wang","year":"2019","journal-title":"Aerosp. Sci. Technol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"16964","DOI":"10.3390\/s121216964","article-title":"Research on Modeling of the Agile Satellite Using a Single Gimbal Magnetically Suspended CMG and the Disturbance Feedforward Compensation for Rotors","volume":"12","author":"Cui","year":"2012","journal-title":"Sensors"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"102186","DOI":"10.1109\/ACCESS.2019.2927401","article-title":"Optimal Path Planning-Based Finite-Time Control for Agile CubeSat Attitude Maneuver","volume":"7","author":"Zhang","year":"2019","journal-title":"IEEE Access"},{"key":"ref_15","unstructured":"Lafontaine, J., and Peuvedic, C.L. (2005, January 23\u201327). Autonomous Generation of Guidance Profiles for Constrained, Minimum-Time, Large-Angle Attitude Manoeuvres. Proceedings of the AAS\/AIAA Space Flight Mechanics Meeting, AAS, Cooper Mountain, CO, USA."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Wu, S., Liu, Y., Radice, G., and Tan, S. (2017). Autonomous Pointing Control of a Large Satellite Antenna Subject to Parametric Uncertainty. Sensors, 17.","DOI":"10.3390\/s17030560"},{"key":"ref_17","first-page":"1140","article-title":"On-Orbit High-Accuracy Pointing Control for Large Mesh Deployable Antenna","volume":"36","author":"Wu","year":"2015","journal-title":"J. Astronaut."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1109\/TSMCC.2010.2055049","article-title":"An Optimal Satellite Antenna Profile Using Reinforcement Learning","volume":"41","author":"Ahn","year":"2011","journal-title":"IEEE Trans. Syst. Man Cybern. Part C"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2762","DOI":"10.1109\/TAES.2018.2829360","article-title":"Contracting Angular Velocity Observer for Small Satellites","volume":"54","author":"Tang","year":"2018","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3520","DOI":"10.1109\/TAES.2021.3088490","article-title":"Agile Earth Observation Satellite Scheduling with a Quantum Annealer","volume":"57","author":"Stollenwerk","year":"2021","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1109\/TCST.2008.924576","article-title":"Satellite Attitude Control by Quaternion-Based Backstepping","volume":"17","author":"Kristiansen","year":"2009","journal-title":"IEEE Trans. Control Syst. Technol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"113258","DOI":"10.1109\/ACCESS.2021.3104098","article-title":"Power Budgeting of LEO Satellites: An Electrical Power System Design for 5G Missions","volume":"9","author":"Ali","year":"2021","journal-title":"IEEE Access"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1014","DOI":"10.1109\/TCOMM.2021.3131573","article-title":"Downlink Transmit Design for Massive MIMO LEO Satellite Communications","volume":"70","author":"Li","year":"2022","journal-title":"IEEE Trans. Commun."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1961","DOI":"10.1109\/TCST.2014.2388239","article-title":"Rigid Body Attitude Control with Delayed Attitude Measurement","volume":"23","author":"Bahrami","year":"2015","journal-title":"IEEE Trans. Control Syst. Technol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1109\/TMECH.2016.2614839","article-title":"Attitude Stabilization Control of Flexible Satellites with High Accuracy: An Estimator-Based Approach","volume":"22","author":"Xiao","year":"2017","journal-title":"IEEE ASME Trans. Mechatron."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1109\/7.766932","article-title":"Line-of-sight pointing stability for \u201cdrifting\u201d Satellites","volume":"35","author":"Kumar","year":"1999","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"121897","DOI":"10.1109\/ACCESS.2019.2931573","article-title":"Modeling and Calibrating the Ground-Surface Beam Pointing of GEO Satellite","volume":"7","author":"Sun","year":"2019","journal-title":"IEEE Access"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Li, Y., and Wang, L. (2022). Human Activity Recognition Based on Residual Network and BiLSTM. Sensors, 22.","DOI":"10.3390\/s22020635"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Wang, Q., Yu, Y., Ahmed, H.O.A., Darwish, M., and Nandi, A.K. (2021). Open-Circuit Fault Detection and Classification of Modular Multilevel Converters in High Voltage Direct Current Systems (MMC-HVDC) with Long Short-Term Memory (LSTM) Method. Sensors, 21.","DOI":"10.3390\/s21124159"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"183165","DOI":"10.1109\/ACCESS.2020.3029066","article-title":"Recurrent Neural Network Based Robust Actuator and Sensor Fault Estimation for Satellite Attitude Control System","volume":"8","author":"Long","year":"2020","journal-title":"IEEE Access"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Peng, Y., Song, D., Qiu, L., Wang, H., He, X., and Liu, Q. (2023). Combined Prediction Model of Gas Concentration Based on Indicators Dynamic Optimization and Bi-LSTMs. Sensors, 23.","DOI":"10.3390\/s23062883"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2222","DOI":"10.1109\/TNNLS.2016.2582924","article-title":"LSTM: A Search Space Odyssey","volume":"28","author":"Greff","year":"2017","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/10\/4650\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:32:39Z","timestamp":1760124759000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/10\/4650"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,11]]},"references-count":32,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2023,5]]}},"alternative-id":["s23104650"],"URL":"https:\/\/doi.org\/10.3390\/s23104650","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2023,5,11]]}}}