DocumentCode :
622617
Title :
Robust adaptive control for a longitudinal model of mars airplane
Author :
Yanbin Liu ; Keming Yao ; Yuping Lu
Author_Institution :
Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2013
fDate :
12-14 June 2013
Firstpage :
1814
Lastpage :
1818
Abstract :
In recent years, Mars airplane has been developed as a complete science-focused mission for the deep space exploration. However, the airplane flying in the complicated Mars environments must address some difficult issues that are not encountered for the traditional vehicles on earth. As a result, these issues, which need to be solved, present a large design challenge for Mars airplane. In this paper, the robust adaptive control methods for Mar airplane are put forwards in order to guarantee the flight stability and improve the system robustness under the uncertain flight conditions. First, a longitudinal model of Mars airplane is established according to the different flight altitudes and velocities. Then the dynamic characteristics of this model are analyzed so as to determine the control goals. Afterwards, the robust adaptive control system is designed based on the differential geometry theory and the backstepping method such that the proposed control law can meet the anticipated mission demands. Finally, the effectiveness of the proposed control systems is verified by using the numerical simulation, and the corresponding results show the flight stability and the track performance can be guaranteed for Mars airplane.
Keywords :
adaptive control; aircraft control; control system synthesis; differential geometry; nonlinear control systems; numerical analysis; robust control; space vehicles; uncertain systems; Mars airplane; backstepping method; deep space exploration; differential geometry theory; dynamic characteristics; flight altitudes; flight stability; flight velocities; longitudinal model; numerical simulation; robust adaptive control system design; system robustness improvement; track performance; uncertain flight conditions; Adaptation models; Aerodynamics; Airplanes; Atmospheric modeling; Mars; Mathematical model; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
ISSN :
1948-3449
Print_ISBN :
978-1-4673-4707-5
Type :
conf
DOI :
10.1109/ICCA.2013.6565069
Filename :
6565069
Link To Document :
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