State Estimation Under Nonlinear State Inequality Constraints. A Tracking Application

Vincent Sircoulomb (1, 2) , Ghaleb Hoblos (2) , Houcine Chafouk (2) , José Ragot (1)

1 CRAN - Centre de Recherche en Automatique de Nancy
2 IRSEEM - Institut de Recherche en Systèmes Electroniques Embarqués

This paper proposes a general method for dealing with state estimation under nonlinear state soft inequality constraints. This method is based on the projection approach, and then has the advantage to be compatible with any kind of state estimator. In order to be taken into account, the nonlinear constraints are linearized about the constrained state using an iterated approach. The proposed algorithm is tested on a three-dimension tracking application with nonlinear constraints on the moving body acceleration. The results are compared with those of an unconstrained Kalman filter.

Domaines: Automatique / Robotique

Vincent Sircoulomb, Ghaleb Hoblos, Houcine Chafouk, José Ragot. State Estimation Under Nonlinear State Inequality Constraints. A Tracking Application. 16th Mediterranean Conference on Control and Automation, MED'08, Jun 2008, Ajaccio, France. pp.1669-1674, ⟨10.1109/MED.2008.4602024⟩. ⟨hal-00292237⟩