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Titlebook: Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems; Runqi Chai,Al Savvaris,Senchun Chai Book 2020 S

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發(fā)表于 2025-3-21 19:54:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems
編輯Runqi Chai,Al Savvaris,Senchun Chai
視頻videohttp://file.papertrans.cn/269/268778/268778.mp4
概述Systematically introduces a range of optimization approaches to spacecraft trajectory optimization problems.Describes a novel hybrid optimization strategy.Presents new multi-objective approaches to fi
叢書名稱Springer Aerospace Technology
圖書封面Titlebook: Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems;  Runqi Chai,Al Savvaris,Senchun Chai Book 2020 S
描述This book explores the design of optimal trajectories for space maneuver vehicles (SMVs) using optimal control-based techniques. It begins with a comprehensive introduction to and overview of three main approaches to trajectory optimization, and subsequently focuses on the design of a novel hybrid optimization strategy that combines an initial guess generator with an improved gradient-based inner optimizer. Further, it highlights the development of multi-objective spacecraft trajectory optimization problems, with a particular focus on multi-objective transcription methods and multi-objective evolutionary algorithms. In its final sections, the book studies spacecraft flight scenarios with noise-perturbed dynamics and probabilistic constraints, and designs and validates new chance-constrained optimal control frameworks.?.The comprehensive and systematic treatment of practical issues in spacecraft trajectory optimization is one of the book’s major features, making it particularly suited for readers who are seeking practical solutions in spacecraft trajectory optimization. It offers a valuable asset for researchers, engineers, and graduate students in GNC systems, engineering optimizat
出版日期Book 2020
關(guān)鍵詞Spacecraft; Trajectory optimization; Optimal control; Gradient-based approach; Heuristic method; Optimal
版次1
doihttps://doi.org/10.1007/978-981-13-9845-2
isbn_softcover978-981-13-9847-6
isbn_ebook978-981-13-9845-2Series ISSN 1869-1730 Series E-ISSN 1869-1749
issn_series 1869-1730
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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https://doi.org/10.1057/9781137522023near constrained optimal control model is established. The constructed formulation contains multiple exo-atmospheric and atmospheric flight phases and correspondingly, two sets of flight dynamics. In addition, in order to guide the SMV overflying different target altitude points, a series of event s
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Sarajevo: Sunday, June 28, 1914on the performance analysis, one may be able to improve one of these techniques in order to circumvent the limitations brought by the classic methods. In the analysis, two types of optimization strategies are applied to solve the SMV trajectory optimization problem. Specifically, gradient-based and
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Labour Market Policies in Times of Crisisof the initial guess and enhance the stability of the algorithm, an initial guess generator based on a specific stochastic algorithm is applied. In addition, an improved gradient-based algorithm is used as the inner solver, which can offer the user more flexibility to control the optimization proces
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https://doi.org/10.1007/978-981-13-9845-2Spacecraft; Trajectory optimization; Optimal control; Gradient-based approach; Heuristic method; Optimal
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