The goal of this work is to develop a Motion Cueing Algorithm based on Model Predictive Control, which generate a trajectory that minimize a cost function, while not exceeding the simulator limits, exploiting the prediction of the future linear accelerations and angular velocities on the driver's head. In the last part of this thesis a proof of how the prediction window length affect the algorithm performances is given.
Development of a real-time Motion Cueing Algorithm based on Nonlinear Model Predictive Control techniques
Fano, Silvia
2020/2021
Abstract
The goal of this work is to develop a Motion Cueing Algorithm based on Model Predictive Control, which generate a trajectory that minimize a cost function, while not exceeding the simulator limits, exploiting the prediction of the future linear accelerations and angular velocities on the driver's head. In the last part of this thesis a proof of how the prediction window length affect the algorithm performances is given.File in questo prodotto:
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Tesi.pdf
Open Access dal 21/12/2022
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/28837