Abstract : This paper addresses a predictive control strategy for Unmanned Air Vehicles in the presence of bounded disturbances. The goal is to guarantee tracking capabilities with respect to a reference trajectory which is pre-specified using the differential flatness formalism. Furthermore, an off-line linearization strategy of the nonlinear model of the vehicle along the flat trajectory is proposed. Since the reference trajectory is available beforehand, an optimization problem which minimizes the tracking error for the vehicle is formulated in a predictive control framework. The proposed method exhibits effective performance validated through software-in-the-loop simulations for the control of Unmanned Aerial Vehicles (UAVs).
https://hal.inria.fr/hal-00794373
Contributor : Josiane Dartron
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Submitted on : Monday, February 25, 2013 - 4:44:48 PM
Last modification on : Tuesday, June 4, 2019 - 11:08:06 AM
Ionela Prodan, Sorin Olaru, Cristina Stoica, Silviu-Iulian Niculescu. Predictive Control for Autonomous Aerial Vehicles Trajectory Tracking. Journée Envol Recherche de la Fondation d'entreprise EADS, Feb 2013, Paris, France. ⟨hal-00794373⟩
