Esmeraldi Xuna
Data-driven Model and Trajectory Tracking SMC for a UGV system.
Rel. Elisa Capello, Iris David Du Mutel De Pierrepont F, Davide Carminati. Politecnico di Torino, Master of science program in Computer Engineering, 2022
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Abstract
One of the most relevant features for the design of control algorithms is to show their robustness. For this reason, the main objective of this thesis has been the design of a robust controller for the target Unmanned Ground Vehicle (UGV) by means of Sliding Mode Control (SMC) technique, a well-known control strategy that provides this desired feature. To reach such objective, a new firmware for the UGV has been designed and a data-driven model has been built. The classical controller design procedure requires an initial characterization of a model which should be quite realistic but light, in order to make fast and reliable simulations.
In this case, the provided model is a data-driven one, making possible the use of a kinematic model only of the UGV, keeping out dynamical modeling
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