低轨星座传感器资源调度的自主任务规划建模方法OA北大核心CSTPCD
An Autonomous Mission Planning Modeling Method for LEO Constellation Sensor Resource Scheduling
低轨星座传感器资源的优化调度是复杂多约束下的任务规划问题,为了满足多个运动目标全程跟踪与监视的资源实时优化调度需求,提出一种星上自主快速求解的规划模型.在对自主任务规划问题进行详细建模的基础上,考虑各项约束条件与优化因素,将原问题转化成简易的 0-1 线性整数规划模型,并构建多目标跟踪试验场景对所提方法进行了仿真验证.仿真结果表明,基于简易规划模型的资源调度可实现多目标的全程跟踪与监视.
The sensor resources scheduling of LEO constellation is a mission planning problem with complex and multiple constraints.In order to implement the real-time scheduling optimization of multiple maneuvering targets'full process tracking and monitoring tasks,a mission planning model that is easy to quickly solve onboard is pro-posed.Based on the detailed modeling of the autonomous mission planning for LEO constellation sensor scheduling,the original problem is transformed into a simple 0-1 linear integer programming model with various constraints and optimization objectives.The proposed method is validated through a multiple targets tracking simulation scenario,with all targets tracked and monitored throughout the entire process.
王淑一;黄盘兴;雷冰瑶;夏维
北京控制工程研究所,北京 100094||空间智能控制技术全国重点实验室,北京 100094合肥工业大学,合肥 230009
低轨星座传感器资源调度自主任务规划线性整数规划模型
LEO constellationsensor resource schedulingautonomous mission planninglinear integer program-ming model
《空间控制技术与应用》 2024 (004)
9-16 / 8
国家自然科学基金资助项目(U21B6001) Supported by National Natural Science Foundation of China(U21B6001)
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