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  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




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