Introduction

This book examines the autonomous management of spacecraft, which uses 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.

Levels of Autonomous Management

Divides the autonomous management level of spacecraft into two levels:

• Basic autonomy to meet spacecraft health requirements, namely, autonomous health management, and autonomy of the advanced stage.

Implementation Aspects

Divides the implementation of spacecraft autonomous management into three aspects:

• Autonomous health management of spacecraft – the spacecraft can monitor and sense its own state and can autonomously detect, isolate, and recover from faults.
• Autonomous mission management – 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 – the spacecraft processes a large amount of raw data and extracts useful information and autonomously executes or changes flight tasks.

Autonomous Management Model

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.