Riccati nonlinear observer for velocity-aided attitude estimation of accelerated vehicles using coupled velocity measurements

Abstract : Motivated by drone autonomous navigation applications we address a novel problem of velocity-aided attitude estimation by combining two linear velocity components measured in a body-fixed frame and a linear velocity component measured in an inertial frame with the measurements of an Inertial Measurement Unit (IMU). The main contributions of the present paper are the design of a Riccati nonlinear observer, which may be viewed as deterministic versions of an Extended Kalman filter (EKF), and an analysis of observability conditions under which local exponential stability of the observer is achieved. Reported simulation results further indicate that the observer's domain of convergence is large.
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Communication dans un congrès
CDC 2017 - 56th IEEE Conference on Decision and Control, Dec 2017, Melbourne, Australia
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Soumis le : jeudi 2 novembre 2017 - 23:23:26
Dernière modification le : dimanche 5 novembre 2017 - 01:08:25

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  • HAL Id : hal-01628178, version 1

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Minh-Duc Hua, Tarek Hamel, Claude Samson. Riccati nonlinear observer for velocity-aided attitude estimation of accelerated vehicles using coupled velocity measurements. CDC 2017 - 56th IEEE Conference on Decision and Control, Dec 2017, Melbourne, Australia. 〈hal-01628178〉

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