DocumentCode :
1794821
Title :
Observer based inverse optimal attitude stabilization control of spacecraft with uncertainties
Author :
Bo Li ; Qinglei Hu ; Lei Guo
Author_Institution :
Dept. of Control Sci. & Eng., Harbin Inst. of Technol., Harbin, China
fYear :
2014
fDate :
8-10 Aug. 2014
Firstpage :
269
Lastpage :
274
Abstract :
A novel Control Lyapunov Function (CLF) based robust inverse optimal control law incorporated with Extended State Observer (ESO) is proposed for spacecraft attitude stabilization under uncertainties in this paper. More specifically, an ESO is investigated to estimate all the states of the system, which is used to compensate specified total uncertainties including actuator/inertial uncertainties. And also the uniformly ultimately bounded stable in finite time of ESO is guaranteed via a rigorous Lyapunov analysis. Moreover, an inverse optimal CLF approach is presented to guarantee the asymptotically stable of the closed-loop system, and energy optimal/minimum performance index can be achieved simultaneously, which are proved utilizing CLF based analysis. The key feature of the proposed strategy is that it stabilizes asymptotically the closed-loop system from the point view of energy optimal with respect to a meaningful cost function, even in the presence of actuator and inertial uncertainties. Simulation results are presented to illustrate the performance of the proposed scheme.
Keywords :
Lyapunov methods; asymptotic stability; attitude control; closed loop systems; observers; space vehicles; ESO; asymptotic stability; closed-loop system; extended state observer; inverse optimal CLF approach; novel control Lyapunov function based robust inverse optimal control law; observer based inverse optimal attitude stabilization control; spacecraft attitude stabilization; Actuators; Attitude control; Lyapunov methods; Observers; Robustness; Space vehicles; Uncertainty;
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.2014.7007244
Filename :
7007244
Link To Document :
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