透過您的圖書館登入
IP:18.219.14.63
  • 期刊

The Dynamic Control of Space Travel and the Application of Artificial Intelligence

太空旅行之動態控制與人工智能應用

摘要


Artificial Intelligence (hereafter short as AI) has been well developed and implemented in the fields of aeronautics and astronautics. For any exploration into the space, it often requires costly and lengthy preparation for space project, thus default and loss due to dysfunctional failure or miss could be enormous or even unbearable. Remote control and correction on earth station is often difficult or impossible as some space vehicles and carriers with celestial exploration are often extremely far away from our Planet or even beyond the Solar system. There are many parameters influencing the space project thus sophisticated calculating is always beyond imagination. Thanks to the introduction of AI, these areas have been improved. Nowadays there has been wide use in the space travel. For example, deep machine learning in aviation mechanism has turned the unmanned galactic space vehicle into autonomous travelling when guidance from the earth is no longer possible. Also the super computer has helped the calculation of launch trajectory of rocket and orbiting locus of satellite in a more precise and safe way, this is more important when we are considering the possibility of private human access to space. In general, the application of AI has made a quantum leap in the dynamic control of space travel.

並列摘要


本文最主要説明最近日益進步的人工智能發展,不但影響我們的產業、經濟、生活各層面,對於人類已經進行多年的太空探索,不論是在載體設計、動能控制與軌道選舉都取得十分驚人的應用成果。本研究試以目前方興未艾的太空旅行作案例,簡單分析人工智能可能應用及促進太空旅行早日商業化之途徑。

並列關鍵字

人工智能 動態控制 太空旅行

參考文獻


Elsevier (2018) AI Resources Centre https://www.elsevier.com/connect/resource-center/artificialintelligence
Lee, Kai-Fu (2018): AI Superpowers: China, Silicon Valley, and the New World Order: Harcourt Publishing.
Liu, James Y.S. (2018) “From Formosat-5 to Space Tourism: Analysis of Cross Strait Exploration into Uncharted Frontier”, East Asia Review, No.501, Sept.2018
Matsuo, Yutaka (2016), Can AI surpass Mankind? The pioneering start of deep-learning.(in Japanese) Tokyo: KODAKAWA press
Office of Chief Scientists of the U.S. Air Force (2010), the U.S. Air Force Report on Technology Horizons 2010-2030

延伸閱讀