Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (4): 826-835.doi: 10.16182/j.issn1004731x.joss.20-0998

• Modeling Theory and Methodology • Previous Articles     Next Articles

Idea of Infinitesimal Method-introduced Hybrid TT&C Resources Joint Scheduling

Naiyang Xue1(), Dan Ding2(), Hongmin Wang2, Yile Fan1, Zhongqian Liu1   

  1. 1.Graduate School, Space Engineering University, Beijing 101416, China
    2.Department of electronic and optical engineering, Space Engineering University, Beijing 101416, China
  • Received:2020-12-14 Revised:2021-01-19 Online:2022-04-30 Published:2022-04-19
  • Contact: Dan Ding E-mail:2163628670@qq.com;ddnjr@163.com

Abstract:

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.

Key words: telemetry, track and command(TT&C), joint scheduling of hybrid TT&C resources, infinitesimal method, scheduling revenue, mission satisfaction rate

CLC Number: