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
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;
Conference_Titel :
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4799-4700-3
DOI :
10.1109/CGNCC.2014.7007267
