# Angular velocity nonlinear observer from single vector measurements

Authors: L. Magnis, N. Petit, IEEE Tr. Automatic Control, Vol 61 no 9, pp. 2473-2483, Sept. 2016, DOI: 10.1109/TAC.2015.2501358

The paper proposes a technique to estimate the angular velocity of a rigid body from single vector measurements. Compared to the approaches presented in the literature, it does not use attitude information nor rate gyros as inputs. Instead, vector measurements are directly filtered through a nonlinear observer estimating the angular velocity. Convergence is established using a detailed analysis of a linear-time varying dynamics appearing in the estimation error equation. This equation stems from the classic Euler equations and measurement equations. As is proven, the case of free-rotation allows one to relax the persistence of excitation assumption. Simulation results are provided to illustrate the method.

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BibTeX

@Article{2016-09-21,

author = {N. Petit L. Magnis},

title = {Angular velocity nonlinear observer from single vector measurements},

journal = {IEEE Tr. Automatic Control},

volume = {61},

number = {9},

pages = {2473-2483},

year = {2016},

}

The paper proposes a technique to estimate the angular velocity of a rigid body from single vector measurements. Compared to the approaches presented in the literature, it does not use attitude information nor rate gyros as inputs. Instead, vector measurements are directly filtered through a nonlinear observer estimating the angular velocity. Convergence is established using a detailed analysis of a linear-time varying dynamics appearing in the estimation error equation. This equation stems from the classic Euler equations and measurement equations. As is proven, the case of free-rotation allows one to relax the persistence of excitation assumption. Simulation results are provided to illustrate the method.

Download PDF

BibTeX

@Article{2016-09-21,

author = {N. Petit L. Magnis},

title = {Angular velocity nonlinear observer from single vector measurements},

journal = {IEEE Tr. Automatic Control},

volume = {61},

number = {9},

pages = {2473-2483},

year = {2016},

}