Advanced Trajectory Optimization, Guidance and Control Strategies for Aerospace Vehicles: Methods and Applications

Chai, Runqi, Chen, Kaiyuan, Cui, Lingguo

  • 出版商: Springer
  • 出版日期: 2024-09-29
  • 售價: $5,690
  • 貴賓價: 9.5$5,406
  • 語言: 英文
  • 頁數: 260
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9819943132
  • ISBN-13: 9789819943135
  • 海外代購書籍(需單獨結帳)

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商品描述

This book focuses on the design and application of advanced trajectory optimization and guidance and control (G&C) techniques for aerospace vehicles. Part I of the book focuses on the introduction of constrained aerospace vehicle trajectory optimization problems, with particular emphasis on the design of high-fidelity trajectory optimization methods, heuristic optimization-based strategies, and fast convexification-based algorithms. In Part II, various optimization theory/artificial intelligence (AI)-based methods are constructed and presented, including dynamic programming-based methods, model predictive control-based methods, and deep neural network-based algorithms. Key aspects of the application of these approaches, such as their main advantages and inherent challenges, are detailed and discussed. Some practical implementation considerations are then summarized, together with a number of future research topics. The comprehensive and systematic treatment of practical issues in aerospace trajectory optimization and guidance and control problems is one of the main features of the book, which is particularly suitable for readers interested in learning practical solutions in aerospace trajectory optimization and guidance and control. The book is useful to researchers, engineers, and graduate students in the fields of G&C systems, engineering optimization, applied optimal control theory, etc.

商品描述(中文翻譯)

本書專注於航空航天載具的先進軌跡優化及引導與控制(G&C)技術的設計與應用。書籍的第一部分介紹了受限航空航天載具的軌跡優化問題,特別強調高保真度軌跡優化方法的設計、基於啟發式優化的策略以及快速凸化算法。在第二部分,構建並呈現了各種基於優化理論/人工智慧(AI)的方法,包括基於動態規劃的方法、基於模型預測控制的方法以及基於深度神經網絡的算法。這些方法應用的關鍵方面,如其主要優勢和固有挑戰,均有詳細討論。隨後總結了一些實際實施考量,以及若干未來研究主題。本書對航空航天軌跡優化及引導與控制問題的實際問題進行了全面且系統的處理,這是本書的一大特色,特別適合對航空航天軌跡優化及引導與控制的實際解決方案感興趣的讀者。本書對於G&C系統、工程優化、應用最優控制理論等領域的研究人員、工程師及研究生均具有實用價值。

作者簡介

Runqi Chai received the Ph.D. degree in aerospace engineering from Cranfield University, Cranfield, UK, in August 2018. He was Research Fellow at Cranfield University from 2018 to 2021. He was also Visiting Researcher at The University of Manchester, Manchester, UK, in 2021. He is currently Professor at the Beijing Institute of Technology, Beijing, China. His research interests include trajectory optimization, networked control systems, multiagent control systems, and autonomous vehicle motion planning and control.
Kaiyuan Chen received the Ph.D. degree from Swansea University in 2022. She serves as Research Fellow at Vanke School of Public Health, Tsinghua University. Currently, she is Member of Institute of Electrical and Electronics Engineers (IEEE) and Chinese Association of Automation (CAA). Her research interests include optimal control, smart health care, global health intelligent governance, the application of unmanned system in public health, andother relevant fields.
Lingguo Cui received the Ph.D. degree in computer science and engineering from Beijing Institute of Technology, Beijing, China, in March 2007. She was Visiting Researcher at Cranfield University, Cranfield, UK, in 2016 and at University of Florida, USA, from 2011 to 2012. She is currently Associate Professor at the Beijing Institute of Technology, Beijing, China. Her research interests include information security, wireless sensor networks, optimal control, and optimization theory.
Senchun Chai received the B.S. and master's degrees in control science and engineering from the Beijing Institute of Technology, Beijing, China, in 2001 and 2004, respectively, and the Ph.D. degree in networked control system from the University of South Wales, Pontypridd, UK, in 2007. He was Research Fellow at Cranfield University, Bedford, UK, from 2009 to 2010 and was Visiting Scholar at the University of Illinois at Urbana-ChampaignUrbana, Champaign, IL, USA, from January 2010 to May 2010. He is currently Professor at the School of Automation, Beijing Institute of Technology. He has authored and coauthored more than 100 journal and conference papers. His current research interests include flight control system, networked control systems, embedded systems, and multiagent control systems.
Gokhan Inalhan received the B.Sc. degree in aeronautical engineering from Istanbul Technical University, in 1997 and the M.Sc. and Ph.D. degrees in aeronautics and astronautics from Stanford University in 1998 and 2004, respectively. He is BAE Systems Chair, Professor of Autonomous Systems and Artificial Intelligence, and Deputy Head of Autonomous and Cyber-physical Systems Centre at Cranfield University, Bedford, UK. He has previously served as Director General with ITU Aerospace Research Centre, Istanbul, Turkey. He has authored or coauthored over 200 papers, book chapters, proceedings, and technical reports on his areas of interest. His research interests include advanced controls, optimization, and modeling aspects associated with autonomy and artificial intelligence for air, space, defense, and transportation systems (urban air mobility, air traffic management/unmanned aerial systems (UAS) traffic management) with seminal works on multiple aircraft coordination and decentralized control of UASs.
Antonios Tsourdos received the M.E. degree in electronic, control, and systems engineering from the University of Sheffield, Sheffield, UK, in 1995, the M.Sc. degree in systems engineering from Cardiff University, Cardiff, UK, in 1996, and the Ph.D. degree in nonlinear robust autopilot design and analysis from Cranfield University, Bedford, UK, in 1999. In 1999, he joined the Cranfield University as Lecturer, was appointed Head of the Centre of Autonomous and Cyber-Physical Systems in 2007, Professor of Autonomous Systems and Control in 2009, and Director of Research--Aerospace, Transport and Manufacturing in 2015. He currently leads the research team on autonomous systems within the School of Aerospace, Transport and Manufacturing, Cranfield University. He has diverse expertise in both unmanned and autonomous vehicles as well as networked systems. His research interests include the fields of guidance, control, and navigation for single and multiple unmanned autonomous vehicles as well as research on cyber-physical systems.

作者簡介(中文翻譯)

Runqi Chai於2018年8月獲得英國克蘭菲爾德大學航空航天工程博士學位。他在克蘭菲爾德大學擔任研究員,任期為2018年至2021年。2021年,他還曾擔任英國曼徹斯特大學的訪問研究員。目前,他是中國北京理工大學的教授。他的研究興趣包括軌跡優化、網絡控制系統、多智能體控制系統以及自動駕駛車輛的運動規劃與控制。

Kaiyuan Chen於2022年獲得斯旺西大學的博士學位。她目前在清華大學萬科公共衛生學院擔任研究員。她是電氣和電子工程師學會(IEEE)及中國自動化學會(CAA)的成員。她的研究興趣包括最優控制、智慧健康照護、全球健康智能治理、無人系統在公共衛生中的應用及其他相關領域。

Lingguo Cui於2007年3月獲得中國北京理工大學計算機科學與工程博士學位。她於2016年擔任克蘭菲爾德大學的訪問研究員,並於2011年至2012年在美國佛羅里達大學擔任訪問研究員。目前,她是中國北京理工大學的副教授。她的研究興趣包括資訊安全、無線感測器網絡、最優控制及優化理論。

Senchun Chai於2001年和2004年分別獲得中國北京理工大學控制科學與工程的學士及碩士學位,並於2007年獲得英國南威爾士大學網絡控制系統的博士學位。他於2009年至2010年在英國克蘭菲爾德大學擔任研究員,並於2010年1月至2010年5月在美國伊利諾伊大學香檳分校擔任訪問學者。目前,他是北京理工大學自動化學院的教授。他已發表和共同發表超過100篇期刊和會議論文。他目前的研究興趣包括飛行控制系統、網絡控制系統、嵌入式系統及多智能體控制系統。

Gokhan Inalhan於1997年獲得伊斯坦堡科技大學航空工程學士學位,並於1998年和2004年分別獲得斯坦福大學航空學和宇航學的碩士及博士學位。他是英國克蘭菲爾德大學BAE系統主席、自動系統與人工智慧教授,以及自動化與網絡物理系統中心的副主任。他曾擔任土耳其伊斯坦堡ITU航空研究中心的總幹事。他在其研究領域已發表或共同發表超過200篇論文、書籍章節、會議論文及技術報告。他的研究興趣包括先進控制、優化及與空中、太空、防禦和交通系統(城市空中移動、空中交通管理/無人機交通管理)相關的自主性和人工智慧的建模方面,並在多架飛機協調及無人機的分散控制方面有開創性工作。

Antonios Tsourdos於1995年獲得英國謝菲爾德大學電子、控制及系統工程的碩士學位,1996年獲得卡迪夫大學系統工程的碩士學位,並於1999年獲得克蘭菲爾德大學非線性穩健自動駕駛儀設計與分析的博士學位。1999年,他加入克蘭菲爾德大學擔任講師,於2007年被任命為自動化與網絡物理系統中心主任,2009年成為自動系統與控制教授,並於2015年成為航空、交通與製造研究主任。他目前領導自動系統的研究團隊。