DocumentCode
1794866
Title
Monte Carlo approach to the analysis of UAVs control system
Author
Ou Chaojie ; Jiang Ju ; Wang Hongxin ; Zhen Ziyang
Author_Institution
Coll. of Autom. Eng., NUAA, Nanjing, China
fYear
2014
fDate
8-10 Aug. 2014
Firstpage
458
Lastpage
462
Abstract
Several nonlinear control theories have been implied in UAVs control system, although all of those control system can achieve control objects and satisfy control requirement, the robustness of those system is unknown. This paper introduces Monte Carlo approach which is a statistical method to the study of UAVs control system´s robustness. Disturbances which are worthy to consider and detailed process are presented. And Simulation results show that, considering atmospheric turbulence and sensors noises, Monte Carlo approach is a proper tool in the analysis of the robustness of UAVs formation control system.
Keywords
Monte Carlo methods; autonomous aerial vehicles; nonlinear control systems; position control; Monte Carlo approach; UAV control system; atmospheric turbulence; nonlinear control theories; sensor noises; statistical method; unmanned aerial vehicle; Atmospheric modeling; Monte Carlo methods; Multi-agent systems; Robustness; Steady-state; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location
Yantai
Print_ISBN
978-1-4799-4700-3
Type
conf
DOI
10.1109/CGNCC.2014.7007267
Filename
7007267
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