| KEYWORD |
Creation of a High-Fidelity Digital Twin of an Electromechanical Actuator for Aerospace Application
Reference persons BARTOLOMEO MONTRUCCHIO
Description The execution of a Digital Twin of a complex system created using model-driven approaches can require a highly variable time that depends on the accuracy of the reconstruction itself. When such systems have very high accuracy, they are called High-Fidelity systems. However, they can require rather long execution times. To reduce these execution times, Low-Fidelity Digital Twins are often created, which, although less precise, are capable of operating in reasonably shorter times.
Therefore, the thesis aims to create a High-Fidelity Digital Twin of an electromechanical actuator commonly mounted on airplanes and other systems that operate according to data-driven logic. Given a precise set of input variables representing the current state of the electromechanical actuator, the system must be able to give a high-accuracy estimate of the system output in less time than model-driven approaches.
Basic knowledge of Python and Machine Learning (ML) is required.
The project is strongly interdepartmental and involves teachers and researchers from DAUIN (Department of Automatics and Informatics) and DIMEAS (Department of Mechanics and Aerospace). For more information, don't hesitate to get in touch with Bartolomeo Montrucchio, Antonio Marceddu, Matteo Dalla Vedova, Paolo Maggiore, Alessandro Aimasso, and Matteo Bertone at the following emails:
bartolomeo.montrucchio@polito.it
antonio.marceddu@polito.it
matteo.dallavedova@polito.it
paolo.maggiore@polito.it
alessandro.aimasso@polito.it
matteo.bertone@polito.it
Deadline 18/07/2025
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