Online Kinematic and Dynamic-State Estimation for Constrained Multibody Systems Based on IMUs
Identifiers
Share
Metadata
Show full item recordAuthor/s
Torres-Moreno, José Luis; Blanco Claraco, José Luis; Giménez Fernández, Antonio; Sanjurjo, Emilio; Naya, Miguel Á.Date
2016Abstract
This article addresses the problems of online estimations of kinematic and dynamic states of a mechanism from a sequence of noisy measurements. In particular, we focus on a planar four-bar linkage equipped with inertial measurement units (IMUs).
Firstly, we describe how the position, velocity, and acceleration of all parts of the mechanism can be derived from
IMU signals by means of multibody kinematics.
Next, we propose the
novel idea of integrating the generic multibody dynamic equations
into two variants of Kalman filtering, \emph{i.e.}, the extended Kalman filter (EKF) and the unscented Kalman filter (UKF),
in a way that enables us to handle closed-loop, constrained mechanisms, whose state space variables are not independent and would normally prevent
the direct use of such estimators.
The proposal in this work is to apply those estimators
over the manifolds of allowed positions and velocities,
by means of estimating a subset of independent coordinates only.
The...