DocumentCode :
1219642
Title :
An intrinsic observer for a class of Lagrangian systems
Author :
Aghannan, Nasradine ; Rouchon, Pierre
Author_Institution :
Centre Automatique et Syst.s, Ecole des Mines de Paris, France
Volume :
48
Issue :
6
fYear :
2003
fDate :
6/1/2003 12:00:00 AM
Firstpage :
936
Lastpage :
945
Abstract :
We propose a new design method of asymptotic observers for a class of nonlinear mechanical systems: Lagrangian systems with configuration (position) measurements. Our main contribution is to introduce a state (position and velocity) observer that is invariant under any changes of the configuration coordinates. The observer dynamics equations, as the Euler-Lagrange equations, are intrinsic. The design method uses the Riemannian structure defined by the kinetic energy on the configuration manifold. The local convergence is proved by showing that the Jacobian of the observer dynamics is negative definite (contraction) for a particular metric defined on the state-space, a metric derived from the kinetic energy and the observer gains. From a practical point of view, such intrinsic observers can be approximated, when the estimated configuration is close to the true one, by an explicit set of differential equations involving the Riemannian curvature tensor. These equations can be automatically generated via symbolic differentiations of the metric and potential up to order two. Numerical simulations for the ball and beam system, an example where the scalar curvature is always negative, show the effectiveness of such approximation when the measured positions are noisy or include high frequency neglected dynamics.
Keywords :
convergence; nonlinear systems; observers; Euler-Lagrange equations; Lagrangian systems; Riemannian structure; asymptotic observers; differential equations; kinetic energy; mechanical systems; nonlinear mechanical systems; observer dynamics equations; symbolic differentiations; Convergence; Design methodology; Differential equations; Kinetic energy; Lagrangian functions; Mechanical systems; Mechanical variables measurement; Nonlinear equations; Observers; Position measurement;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2003.812778
Filename :
1205188
Link To Document :
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