摘要
针对混合测控资源联合调度中存在的资源属性繁多、偏好差异大以及可能出现的调度弧段冲突等问题,借鉴单体制测控网调度研究中的任务需求描述方法,对混合测控任务需求的特点进行分析,给出其任务需求的规范化描述。以测控调度收益值最大为目标,建立混合资源联合调度模型;引入微元法思想,提出了可用弧段扩展复用方法,以此为基础提出了基于改进遗传算法的求解策略。仿真结果表明:所建模型和相应的解冲突算法能有效提高测控需求满足率和测控收益。
To address the issues related to the mixed hybrid telemetry,track and command(TT&C)resource,including multiple attributes,large differences in preferences and scheduling conflicts when resources are limited in joint scheduling,on the basis of the description method in the single system TT&C network scheduling research,the characteristics of the hybrid TT&C task requirements are analyzed and the standardized description of the hybrid TT&C resource scheduling task requirements is provided.With the goal of maximizing the return value of TT&C scheduling,a hybrid resource joint scheduling model is established.A solution strategy based on an improved genetic algorithm is proposed by introducing the idea of infinitesimal method and applying an extended multiplexing method for the available arc segments.The simulation results show that the proposed model and the corresponding conflict resolution algorithm can effectively improve the mission satisfaction rate and scheduling revenue.
作者
薛乃阳
丁丹
王红敏
樊怡乐
刘仲谦
Xue Naiyang;Ding Dan;Wang Hongmin;Fan Yile;Liu Zhongqian(Graduate School,Space Engineering University,Beijing 101416,China;Department of electronic and optical engineering,Space Engineering University,Beijing 101416,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2022年第4期826-835,共10页
Journal of System Simulation
关键词
航天测控
混合测控资源联合调度
微元法
调度收益
任务满足率
telemetry
track and command(TT&C)
joint scheduling of hybrid TT&C resources
infinitesimal method
scheduling revenue
mission satisfaction rate
