Abstract
SATech-01 is an experimental satellite for space science exploration and on-orbit demon-stration of advanced technologies.The satellite is equipped with 16 experimental payloads and sup-ports multiple working modes to meet the observation requirements of various payloads.Due to the limitation of platform power supply and data storage systems,proposing reasonable mission plan-ning schemes to improve scientific revenue of the payloads becomes a critical issue.In this article,we formulate the integrated task scheduling of SATech-01 as a multi-objective optimization prob-lem and propose a novel Fair Integrated Scheduling with Proximal Policy Optimization(FIS-PPO)algorithm to solve it.We use multiple decision heads to generate decisions for each task and design the action mask to ensure the schedule meeting the platform constraints.Experimental results show that FIS-PPO could push the capability of the platform to the limit and improve the overall obser-vation efficiency by 31.5％compared to rule-based plans currently used.Moreover,fairness is con-sidered in the reward design and our method achieves much better performance in terms of equal task opportunities.Because of its low computational complexity,our task scheduling algorithm has the potential to be directly deployed on board for real-time task scheduling in future space projects.
基金项目
Strategic Priority Program on Space Science,Chinese Academy of Sciences()
NETL
NSTL
万方数据