DocumentCode :
2936074
Title :
Robust stabilization of rigid body attitude motion in the presence of a stochastic input torque
Author :
Samiei, Ehsan ; Izadi, Maziar ; Viswanathan, Sasi P. ; Sanyal, Amit K. ; Butcher, Eric A.
Author_Institution :
Dept. of Mech. & Aerosp. Eng., New Mexico State Univ., Las Cruces, NM, USA
fYear :
2015
fDate :
26-30 May 2015
Firstpage :
428
Lastpage :
433
Abstract :
This paper investigates robust asymptotic stabilization of rigid body attitude dynamics evolving on the tangent bundle of SO(3) using geometric stochastic feedback control, where the system is subject to a stochastic input torque. To start with, the attitude dynamics is interpreted in the Ito sense. However, due to evolution of the kinematic differential equation of the system on SO(3), analyzing the stochastic system on TSO(3) is non-trivial. To address this challenging problem of robust asymptotic stabilization of attitude dynamics, the back-stepping method along with a suitable Morse-Lyapunov (M-L) function candidate with constant control gain parameters are used to obtain a nonlinear stochastic feedback control law. The control gain matrix and the M-L function control gain can be obtained by solving a feasible LMI, which can guarantee the robust asymptotic stability of the rigid body on TSO(3). Numerical simulations are performed to demonstrate and validate the effectiveness of the proposed controller in the state space of rigid body attitude motion in TSO(3).
Keywords :
Lyapunov methods; attitude control; differential equations; feedback; geometry; linear matrix inequalities; motion control; nonlinear control systems; stochastic systems; vehicle dynamics; M-L function; Morse-Lyapunov function; attitude dynamics; backstepping method; control gain matrix; feasible LMI; geometric stochastic feedback control; kinematic differential equation; nonlinear control law; numerical simulations; rigid body attitude motion; robust asymptotic stabilization; stochastic input torque; tangent bundle; Asymptotic stability; Attitude control; Indium tin oxide; Mathematical model; Stability analysis; Stochastic processes; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location :
Seattle, WA
Type :
conf
DOI :
10.1109/ICRA.2015.7139034
Filename :
7139034
Link To Document :
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