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.
2020-01-07
motion, cueing, algorithm, predictive control, driving simulator
File in questo prodotto:
File Dimensione Formato  
Tesi.pdf

Open Access dal 21/12/2022

Dimensione 1.92 MB
Formato Adobe PDF
1.92 MB Adobe PDF Visualizza/Apri

The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/28837