| KEYWORD |
Local-global correction of simplified EHSV models using machine learning tools (SOM + ANN or response surfaces)
keywords NUMERICAL MODELS AND METHODS
Reference persons MATTEO DAVIDE LORENZO DALLA VEDOVA, PAOLO MAGGIORE
External reference persons BERRI Pier Carlo
MAININI Laura
Research Groups 16-ASTRA: Additive manufacturing for Systems and sTRuctures in Aerospace
Thesis type NUMERICAL-EXPERIMENTAL
Description Research objective: design and implement possible local-global correction techniques of simplified numerical models of electrohydraulic servovalves (EHSV) using machine learning tools (SOM + ANN or response surfaces).
Required skills Basics of numerical modeling in Matlab-Simulink; basic notions on on-board systems (electrohydraulic servovalves) and on post-processing of data in the Matlab environment; basic knowledge of the main machine learning tools (SOM + ANN or response surfaces) is preferable.
Deadline 10/07/2023
PROPONI LA TUA CANDIDATURA