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A kinematic observer with adaptive dead-zone for vehicles lateral velocity estimation

Abstract : In this paper we tailor the dead-zone based mechanism presented in [3] to the well-known kinematic observer for the estimation of vehicle lateral velocity. We extend the previous results on the dead-zone observer to linear parameter varying systems. The proposed mechanism maintains the structure of the kinematic observer but inserts an adaptive dead-zone at the output injection term. This dead-zone mechanism partially "cuts" the noise and increases the noise rejection performance allowing for the selection of a larger observer gain. We use this freedom to increase the observer gain to attenuate constant bias errors in the acceleration measurements. The proposed solution is easy to implement and requires only measurements acquired from standard on-board sensors. The adaptation parameters are selected solving a suitable Linear Matrix Inequality (LMI), and no manual tuning is required. We show the effectiveness of the proposed solution through numerical simulations.
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Contributor : Luca Zaccarian Connect in order to contact the contributor
Submitted on : Sunday, July 29, 2018 - 1:34:47 PM
Last modification on : Monday, July 4, 2022 - 9:27:47 AM



Luca Zaccarian, Luca de Pascali, Francesco Biral, Matteo Cocetti, Sophie Tarbouriech. A kinematic observer with adaptive dead-zone for vehicles lateral velocity estimation. 15th International Workshop on Advanced Motion Control (AMC 2018), Mar 2018, Tokyo, Japan. ⟨10.1109/AMC.2019.8371146⟩. ⟨hal-01851144⟩



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