Issue |
JNWPU
Volume 36, Number 2, April 2018
|
|
---|---|---|
Page(s) | 353 - 358 | |
DOI | https://doi.org/10.1051/jnwpu/20183620353 | |
Published online | 03 July 2018 |
Application and Research of Scheduling Mechanism for UAV Cluster Launching Control System
一种用于无人机集群发射控制系统调度机制的应用研究
1
School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China
2
365 th Institute, Northwestern Polytechnical University, Xi'an 710065, China
3
Military Representative Office of the Air force in Xi'an, Xi'an 710065, China
Received:
28
February
2017
This paper discussed the necessity of network scheduling method in UAV cluster launch control system by analyzing the phenomenon of data congestion. The characteristics of sequential, real-time and fairness of the control system were analyzed. The SnPWFQ scheduling method was proposed to solve the problem. The result from theoretical analysis and simulation show that the SnPWFQ scheduling method could meet the requirements of characteristics of the UAV cluster launcher data by comparing with the WFQ algorithm and EDF algorithm.
摘要
针对在无人机集群发射控制系统中,多号位节点数据传输出现的延时、阻塞等问题,讨论了引入网络调度方法的必要性,分析了无人机集群发射网络数据应具有顺序性、实时性和公平性的特点,提出了基于SnPWFQ的调度机制。通过理论分析和仿真试验,表明此方法比使用WFQ算法和EDF算法能够更好地满足网络数据传输的实时性、公平性、数据顺序性的要求,即满足无人机集群发射使用的要求。
Key words: unmanned aerial vehicles(UAV) / real-time control / scheduling algorithm / MATLAB / time series / transient analysis
关键字 : 无人机 / 实时控制 / 调度算法 / MATLAB / 时序 / 瞬态分析
© 2018 Journal of Northwestern Polytechnical University. All rights reserved.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.