Giuseppe Di Mauro
ADAS control algorithm analysis and design for drivability enhancement of UGVs.
Rel. Nicola Amati, Andrea Delmastro. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2022
Abstract
In recent years, with the development of control techniques, sensors and teleoperation system, Unmanned Ground Vehicles (UGVs) are becoming widely employed in both civilian and military fields. The thesis work is made in cooperation with AMET S.r.l.: the main aim is to convert a standard vehicle in a UGV and to develop a shared control algorithm to help human operator in the directly teleoperated driving mode. The state-of-the-art of UGVs is investigated with their architecture, classification and application. Next, an analysis of the communication system is performed, highlighting the resulting chain of delay, with a focus on solutions proposed in the literature to mitigate these latency effects.
The UGV is modelled by exploiting a “PKH” architecture useful to clearly distinguish the different parts of the mechatronic system (Plant, Control and Host)
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