| 书目名称 | Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems | | 编辑 | Runqi Chai,Al Savvaris,Senchun Chai | | 视频video | | | 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 | | 丛书名称 | Springer Aerospace Technology | | 图书封面 |  | | 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 | | 关键词 | Spacecraft; Trajectory optimization; Optimal control; Gradient-based approach; Heuristic method; Optimal | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-13-9845-2 | | isbn_softcover | 978-981-13-9847-6 | | isbn_ebook | 978-981-13-9845-2Series ISSN 1869-1730 Series E-ISSN 1869-1749 | | issn_series | 1869-1730 | | copyright | Springer Nature Singapore Pte Ltd. 2020 |
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发表于 2025-3-21 19:54:36
