This book explores the reconstruction, extension, and enhancement of the Apollo targeting and guidance algorithms, integrating original guidance concepts with new analytical solutions. It details the Apollo ground-based and on-board algorithms, their iterative targeting procedures, and their performance in post-flight mission reconstructions. The book further introduces advanced real-time targeting methods that improve landing accuracy and autonomy, supporting future robotic and human lunar landing missions. By eliminating iterative computations, these solutions enable real-time re-targeting during powered descent, ensuring safer and more precise landings. This work bridges past Apollo-era methods with modern advancements, making it essential for undergraduate and graduate students, aerospace engineers, researchers, and mission designers.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dilmurat Azimov is a Professor of Mechanical Engineering at the University of Hawaii at Mānoa. His research focuses on space trajectory optimization, guidance, navigation and control (GNC), optimal control, and orbit determination using observations for astrodynamics applications. His expertise includes analytical solutions for optimal control problems and applying them to mission design and to the implementation of guidance, control and targeting schemes for aerospace vehicles, including unmanned aerial vehicles (UAVs).
Dr. Bishop is the Vice Chancellor for Engineering at the Texas A&M System, Dean of Engineering at Texas A&M University, and Director of the Texas A&M Engineering Experiment Station. He is a full professor in the Department of Aerospace Engineering. His research interests include systems theory, guidance and control of spacecraft, navigation and estimation, with a special focus on small satellites and planetary precision landing.Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Thisbookexplores the reconstruction, extension, and enhancement of the Apollo targeting and guidance algorithms, integrating original guidance concepts with new analytical solutions. It details the Apollo ground-based and on-board algorithms, their iterative targeting procedures, and their performance in post-flight mission reconstructions. Thebookfurther introduces advanced real-time targeting methods that improve landing accuracy and autonomy, supporting future robotic and human lunar landing missions. By eliminating iterative computations, these solutions enable real-time re-targeting during powered descent, ensuring safer and more precise landings. This work bridges past Apollo-era methods with modern advancements, making it essential for undergraduate and graduate students, aerospace engineers, researchers, and mission designers. 175 pp. Englisch. N° de réf. du vendeur 9783031910876
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Buch. Etat : Neu. Apollo-Class Targeting and Guidance for Lunar Powered Descent and Precision Landing | Dilmurat M. Azimov (u. a.) | Buch | xx | Englisch | 2025 | Springer | EAN 9783031910876 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134160923
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch. N° de réf. du vendeur 9783031910876
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Thisbookexplores the reconstruction, extension, and enhancement of the Apollo targeting and guidance algorithms, integrating original guidance concepts with new analytical solutions. It details the Apollo ground-based and on-board algorithms, their iterative targeting procedures, and their performance in post-flight mission reconstructions. Thebookfurther introduces advanced real-time targeting methods that improve landing accuracy and autonomy, supporting future robotic and human lunar landing missions. By eliminating iterative computations, these solutions enable real-time re-targeting during powered descent, ensuring safer and more precise landings. This work bridges past Apollo-era methods with modern advancements, making it essential for undergraduate and graduate students, aerospace engineers, researchers, and mission designers. N° de réf. du vendeur 9783031910876
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