DocumentCode :
2638037
Title :
A design on moving-mass actuated reentry vehicle with predictive guidance law
Author :
Li, Ruikang ; Jing, Wuxing ; Gao, Changsheng
Author_Institution :
Dept. of Aerosp. Eng., Harbin Inst. of Technol., Harbin
fYear :
2008
fDate :
10-12 Dec. 2008
Firstpage :
1
Lastpage :
5
Abstract :
A new predictive guidance law for moving-mass actuated reentry vehicle is presented in this paper. The proposed approach is based on the fact that lateral force is formed in a plane which is perpendicular to the reentry vehicle velocity. Particularly, the nominal impact point is defined as the impact point generated by zero lift trajectory. The virtual displacement is defined as the tiny change of the nominal impact point, which is caused by any instantaneous lateral force at the beginning of the trajectory. The optimal direction of the lateral force is obtained by the solution of optimal virtual displacement, in which the optimal virtual displacement should point to the target. The linear quadratic gauss (LQG) method and the analytical solution of the reentry trajectory are used in this guidance method. Simulation results demonstrate the effectiveness of the proposed method.
Keywords :
actuators; aircraft landing guidance; control system synthesis; linear quadratic Gaussian control; linear systems; optimal control; position control; predictive control; search problems; space vehicles; velocity control; analytical solution; instantaneous lateral force; linear quadratic gauss method; maneuvering reentry vehicle velocity; moving-mass actuated reentry vehicle design; nominal impact point; optimal direction; optimal virtual displacement; predictive guidance law; search algorithm; zero lift trajectory; Computer errors; Equations; Feedback; Gaussian processes; Navigation; Numerical simulation; Optimal control; Trajectory; Upper bound; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-3908-9
Electronic_ISBN :
978-1-4244-2386-6
Type :
conf
DOI :
10.1109/ISSCAA.2008.4776294
Filename :
4776294
Link To Document :
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