In view of the problem of ground station resource scheduling for satellite data transmission and telemetry, tracing and control (TT&C) tasks, this paper proposes a modified particle swarm optimization (PSO) algorithm combined with heuristic methods to carry out integrated scheduling of satellite data transmission and TT&C tasks. Firstly, the constraints of satellite missions and ground station resources are analyzed, the constraint satisfaction model based on heuristic rules is established, and the superior initial population is filtered out. And then a modified PSO algorithm combining heuristic rules is designed to solve the resource scheduling problem. The simulation and comparison experiments show that the PSO algorithm has better ability to find excellence and convergence speed than traditional scheduling algorithm (such as genetic algorithm), and that the modified PSO algorithm has better ability to find excellence, convergence speed and stability than the traditional PSO algorithm.
FAN Huijing
,
ZHANG Wenyi
,
TIAN Miaomiao
,
MA Guangbin
,
CHENG Bo
. A resource scheduling method for satellite mission ground station based on particle swarm optimization algorithm[J]. Journal of University of Chinese Academy of Sciences, 2022
, 39(6)
: 801
-808
.
DOI: 10.7523/j.ucas.2021.0012
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