A Single Satellite Autonomous Mission Planning Method Based on Intelligent Optimization and Constrained Reasoning

Abstract

The invention discloses a single-satellite autonomous task planning method based on intelligent optimization and constraint reasoning, which adopts a method combining an intelligent optimization algorithm and a reasoning engine to solve the frame, and the intelligent optimization algorithm includes task sorting steps, task decomposition steps and activity opportunity search step, the task decomposition step decomposes the sorted tasks into a structured or partially sequenced activity graph, the activity opportunity search step schedules the imaging subtasks and imaging direction adjustment subtasks to obtain quasi-optimal solutions, and the inference engine is based on the activity graph The logical relationship, time and satellite resource constraints of the quasi-optimal solution are checked for conflicts. If there is a conflict, the quasi-optimal solution is optimized according to the conflict situation, and the optimized quasi-optimal solution is searched locally to obtain the quasi-optimal solution again. The optimal solution, and check the conflict again until the verification result is passed, or the set maximum number of iterations is reached. The present invention produces better mission planning results with less computation.

Description

technical field [0001] The invention relates to the technical field of remote sensing satellites, in particular to a single-satellite autonomous task planning method based on intelligent optimization and constraint reasoning. Background technique [0002] With the improvement of imaging satellite hardware level, its application target has higher requirements. Because of complex constraints, unpredictable state information and complex requirements, satellite mission planning has always been a difficult point in the field of systems engineering. [0003] On-board autonomous mission planning means that it rarely relies on external information injection and control. Smart satellites independently plan and schedule information acquisition activities of satellite resources according to their perceived state and external environment, and formulate satellites that meet the needs of satellite application tasks. Earth Observation Programme. [0004] The autonomous management of imag...

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The planning problem becomes more complex if these factors are taken into account when searching

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