INTELLIGENT OPTIMIZATION AND CONSTRAINT REASONING-BASED SINGLE-SATELLITE AUTONOMOUS TASK PLANNING METHOD
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机译：基于智能优化和约束推理的单卫星自主任务计划方法
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摘要
An intelligent optimization and constraint reasoning-based single-satellite autonomous task planning method, which uses a method of combining an intelligent optimization algorithm and a reasoning engine to solve a framework. The intelligent optimization algorithm comprises a task sorting step, a task deconstruction step and an activity chance search step. The sorted tasks are deconstructed into a structured or partially ordered activity map in the task deconstruction step, and imaging subtasks and imaging direction adjustment subtasks are scheduled in the activity chance search step, so as to obtain a quasi-optimal solution. The inference engine performs a conflict check on the quasi-optimal solution on the basis of logical relationships, time and satellite resource constraints in the activity map, optimizes, if there is a conflict, the quasi-optimal solution according to the conflict situation, performs local searching on the optimized quasi-optimal solution, so as to obtain a quasi-optimal solution again, and performs conflict check again until a verification result passes, or the predetermined maximum number of iterations is reached. The invention uses less computation, and produces a better task planning result.
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