Remote sensing satellite autonomous task planning method and system

By constructing and calling the on-star model layer, the problem of lack of refinement and synchronization of on-star mission planning in the existing technology is solved, and independent task planning and star-ground situation synchronization are achieved, and the use efficiency of satellites is improved.

CN119849787AActive Publication Date: 2025-04-18CHINA ACADEMY OF SPACE TECHNOLOGY
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Patent Information

Application Number
CN202411695537.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-25
Publication Date
2025-04-18
Estimated Expiration
2044-11-25

AI Technical Summary

Technical Problem

The existing on-star mission planning technology lacks the construction and call of the on-star model layer, and cannot implement constraint inspection and refined planning based on real-time states on-star, resulting in the state of the star-ground being out of synchronization, and the ground cannot grasp the on-star mission state in real time.

Method used

By constructing track forecast models, attitude maneuver model, load model and other models, these models are called during the task planning process for task sorting, constraint inspection and meta-task information generation, and task planning is divided into two stages: pre-planning and formal planning, and the pre-planning results are uploaded to the ground in a timely manner, and task parameters are dynamically adjusted to refine the planning.

Benefits of technology

It realizes independent mission planning on the satellite, reduces the difficulty of ground manipulation, improves the efficiency of satellite use, and ensures the synchronization of the satellite-ground situation.

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Abstract

The invention discloses a remote sensing satellite autonomous task planning method and system, and the method comprises the steps: constructing an orbit prediction model, an attitude maneuver model, a load model and other models, and calling the models in a planning process for task sorting, constraint checking and meta-task generation; only point / line / surface related information, load related parameters, task imaging intervals and other necessary task demand parameters need to be injected on the ground, path planning, task decomposition, task sorting, constraint check, autonomous instruction generation and other operations are carried out through an on-satellite autonomous task planning system, and an instruction sequence related to task execution is generated and distributed to a related subsystem. The load subsystem, the data transmission subsystem, the control subsystem, the satellite service subsystem and the like cooperate to complete tasks. After the autonomous task planning system receives task information injected on the ground, satellite pre-planning information can be fed back to the ground in time, and the satellite pre-planning information can be used for ground synchronous task situations.
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