DocumentCode :
2346394
Title :
Robust Trajectory Design Scheme under Uncertainties and Perturbations for Mars Entry Vehicle
Author :
Hongying Xu ; Hutao Cui
Author_Institution :
Dept. Deep Space Exploration, Harbin Inst. of Technol. Harbin, Harbin, China
fYear :
2015
fDate :
13-14 Feb. 2015
Firstpage :
762
Lastpage :
766
Abstract :
For improving landing accuracy on future Mars missions, robust entry guidance schemes are required to improve landing accuracy. This paper analyzes the desensitized optimal trajectory design algorithm which augments the original fuel minimizing performance metric using a specific function of a sensitivity matrix to generate a trajectory. The trajectory is less sensitive to state uncertainties and perturbations. To enable the consideration of parameter uncertainties such as atmospheric density and aerodynamic characteristics, they can be treated as additional state and propagated using trivial dynamics in the trajectory design process. Simulation results indicate that the proposed trajectory design method considering all uncertainties and perturbations is able to generate a more robust trajectory.
Keywords :
Mars; aerospace control; control system synthesis; matrix algebra; perturbation techniques; robust control; trajectory control; uncertain systems; Mars entry vehicle; aerodynamic characteristics; atmospheric density; desensitized optimal trajectory design algorithm; fuel minimizing performance metric; landing accuracy; robust entry guidance schemes; sensitivity matrix; state perturbations; state uncertainties; trivial dynamics; Aerodynamics; Atmospheric modeling; Mars; Sensitivity; Trajectory; Uncertainty; Vehicles; Desensitized optimal control; Mars entry phase; trajectory design; uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on
Conference_Location :
Ghaziabad
Print_ISBN :
978-1-4799-6022-4
Type :
conf
DOI :
10.1109/CICT.2015.132
Filename :
7078805
Link To Document :
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