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Robust stabilization of rigid body attitude motion in the presence of a stochastic input torque

机译:在存在随机输入转矩的情况下,刚体姿态运动的鲁棒稳定

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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).
机译:本文研究了使用几何随机反馈控制在SO(3)切线束上演化的刚体姿态动力学的鲁棒渐近稳定性,该系统受到随机输入转矩的影响。首先,在伊藤的意义上解释态度的动态。但是,由于SO(3)上系统的运动学微分方程的演化,因此分析TSO(3)上的随机系统并非易事。为了解决姿态动力学的鲁棒渐近稳定这一具有挑战性的问题,将后推方法与具有恒定控制增益参数的合适的Morse-Lyapunov(M-L)函数候选一起使用,以获得非线性随机反馈控制律。通过求解可行的LMI可以获得控制增益矩阵和M-L函数控制增益,这可以保证TSO(3)上刚体的鲁棒渐近稳定性。进行了数值模拟,以证明和验证所提出的控制器在TSO(3)中刚体姿态运动的状态空间中的有效性。

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