Autonomous Planning Algorithm for Satellite Laser Ranging Tasks Based on Rolling Horizon Optimization Framework
نویسندگان
چکیده
Observation task planning is a key issue and the first step in development of automated Satellite Laser Ranging (SLR) systems. Aiming at problem dynamic change cloud cover during SLR operation, this paper proposes an autonomous mission algorithm for based on Rolling Horizon Optimization (RHO) framework. A hybrid event- cycle-driven replanning mechanism adopted, four functional modules, rolling, planning, information acquisition decision-making, are established to decompose observation process into series static intervals. An improved ant colony proposed utilized realize system tasks, above verified analyzed station 7237. The results show that can effectively increase number satellites revenue under disturbance, solve problems low efficiency poor interference resistance conventional algorithms, provide new research idea establishment unattended system.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2023
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs15153912