176 / 2023-08-31 17:27:39
Intelligent Satellite Systems for Trusted Autonomous Operations
Intelligent satellite s,Artificial Intelli,Distributed satel,Autonomous operations
摘要待审
Andoh Michael Afful / RMIT University
Rapid advances in satellite systems, sensors and communication technologies are stimulating the development of integrated multisensory systems for an increasing number of space applications. Artificial Intelligence (AI), cognitive automation and advanced networking technologies are being extensively applied to aerospace and satellite systems allowing the development of high-performance and safe multisensory mission systems.  This has led to the introduction of various intelligent satellite systems concepts, opening uncharted opportunities for the new space. For future space transport operations to be technically and commercially viable, it is critical that an acceptable level of safety is provided, requiring the development of novel mission planning and decision support tools that utilize advanced Communication, Navigation and Surveillance (CNS) technologies, and allowing a seamless integration of space operations in the current Space Domain Assurance (SDA) /Space Traffic Management (STM) network. Recent research is turning greater attention to on-orbit phase, where the unique hazards of the space environment are being examined and the necessary elements required for space object de-confliction and collision avoidance modelling are analysed. This presentation will address recent advances in autonomous trajectory optimisation for intelligent satellite systems with a view to trusted autonomy and resiliency. The evolution of regulatory frameworks supporting spacecraft operations with a view to successfully developing sustainable business models, including space debris mitigation strategies, operational risk assessment and liability issues will be addressed. Lastly, adequate modelling approaches to meet on-orbit risk criteria must be developed and evolutionary requirements to improve current operational procedures (regulatory frameworks) are highlighted to support transition to a fully integrated Multi-Domain Traffic Management (MDTM) in a bid to support future mining operations.

 
重要日期
  • 会议日期

    10月26日

    2023

    10月29日

    2023

  • 10月15日 2023

    摘要截稿日期

  • 10月15日 2023

    初稿截稿日期

  • 11月13日 2023

    注册截止日期

主办单位
国际矿山测量协会
中国煤炭学会
中国测绘学会
承办单位
中国矿业大学
中国煤炭科工集团有限公司
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