基于多目标优化的测控数传资源动态重调度方法  

Dynamic rescheduling method for TT&C and data transmission resources based on multi-objective optimization

作　　者：陈浩 孙刚 彭双 伍江江 CHEN Hao;SUN Gang;PENG Shuang;WU Jiangjiang(College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China)

机构地区：[1]国防科技大学电子科学学院,湖南长沙410073

出　　处：《系统工程与电子技术》2024年第11期3744-3753,共10页Systems Engineering and Electronics

基　　金：国家自然科学基金(U19A2058,62106276)资助课题。

摘　　要：近年来,地面站资源测控数传任务的一体化调度方法受到了越来越多的关注。针对任务随遇处理条件下的测控数传资源调度问题,建立了面向多个优化目标的测控数传资源动态重调度数学模型,提出基于启发式规则和多目标非支配解排序遗传算法(non-dominated sorting genetic algorithm Ⅲ,NSGA-Ⅲ)的地面站测控数传资源一体化动态重调度算法,可生成侧重不同优化目标的多个规划方案供规划人员备选。实验结果表明该方法能有效解决测控数传资源多目标动态重调度问题。In recent years,integrated scheduling methods for the telemetry,track and command(TT&C)tasks and data transmission(DT)tasks of ground stations have attracted more and more attention.To address the scheduling problem of station resources under the condition of random arrival of emergency TT&C and DT tasks,a multi-objective optimization model is established for the TT&C and DT tasks dynamic rescheduling.Then a rescheduling method based on heuristic rules and non-dominated sorting genetic algorithm Ⅲ(NSGA-Ⅲ)is designed,allowing to generate multiple alternative planning schemes focusing on different optimization objectives for users.The experimental results show that the proposed algorithm can effectively solve the multi-objective dynamic rescheduling proplem of measurment and control data transmission resources.

关 键 词：测控资源 数传资源 动态重调度 多目标优化 演化算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]