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Więcej informacji o High-Reliability Autonomous Management Systems for Spacecraft

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Opis

The autonomous management of spacecraft is to use modern control technologies such as artificial intelligence to establish a remote intelligent body on the spacecraft, so that the spacecraft can complete its flight tasks by itself. Its goal is to accurately perceive its own state and external environment without relying on external information injection and control or rely on external control as little as possible, make various appropriate decisions based on this information and user tasks, and be able to autonomously control spacecraft to complete various tasks. High-Reliability Autonomous Management Systems for Spacecraft conducts research on three levels of self-management, including: 1) Autonomous health management of spacecraft means that the spacecraft can monitor and sense its own state, and can autonomously detect, isolate and recover from faults; 2) Autonomous mission management of spacecraft means that the spacecraft can directly receive the mission, formulate a reasonable plan according to the current state and working environment of the spacecraft, and convert the mission into a specific sequence of instructions; 3) Spacecraft autonomous data management means that the spacecraft processes a large amount of raw data and extracts useful information, and autonomously executes or changes flight tasks according to the processing situation. Divides the autonomous management level of spacecraft into two levels: Autonomy in the first basic stage: basic autonomy to meet spacecraft health requirements, namely autonomous health management. Control attitude and perform tasks according to the instructions uploaded on the ground. During the execution process, the power is reasonably distributed, the normal temperature is maintained, and the actual implementation of the task operation is grasped. At the same time, detector health is monitored and reported to the ground. In the event of a failure, autonomous failure recovery is performed according to the failure condition, or it enters a safe mode and waits for ground commands to be processed The second level is the autonomy of the advanced stage: on the basis of the basic autonomous functions, "autonomous task management (autonomous task planning and scheduling execution)", "autonomous data management (autonomous operation of payload)" and stronger "autonomous management of faults" function Divides the implementation of spacecraft autonomous management into three aspects: Autonomous health management of spacecraft means that the spacecraft can monitor and sense its own state, and can autonomously detect, isolate and recover from faults Autonomous mission management means that the spacecraft can directly receive the mission, formulate a reasonable plan according to the current state and working environment of the spacecraft, and convert the mission into a specific sequence of instructions Spacecraft autonomous data management means that the spacecraft processes a large amount of raw data and extracts useful information, and autonomously executes or changes flight tasks according to the data processing situation. The autonomous management model of the spacecraft is divided into two points: Compatibility: The existing traditional control systems belong to the execution layer logic and are compatible with the existing systems Scalability: It adopts a layered structure, and each layer has different autonomous capabilities. When it is necessary to provide higher autonomy for system expansion, it is only necessary to modify the corresponding logic of the protocol layer; also, if a device adds a new to provide more precise control. Just modify the control execution layer control program

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Kategoria Książki po angielsku Technology, engineering, agriculture Transport technology & trades Aerospace & aviation technology

• Pełny tytuł: High-Reliability Autonomous Management Systems for Spacecraft
• Autor: Jianjun Zhang, Jing Li
• Język: Angielski
• Oprawa: Miękka
• EAN: 9780443132834
• ID: 42478529
• Wydawca: Elsevier
• Data wydania: 01. August 2023

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