Advanced Control System for AGATUR Micro-Gas Turbine
Deadline: 14/06/2026
Scientific-Disciplinary Group
09/IIND-06 - Fluid Machinery, Energy Systems And Power Generation
Description
The research activities include:1) Comprehensive analysis of historical operational data from the AGATUR and identification of critical factors which can benefit from optimisation through Machine Learning (ML) techniques.2) Integration of ML technologies into the existing control framework, with a specific focus on model development, training, and validation using experimental data acquired from the plant. 3)System Interfacing between ML modules and LabVIEW platform, and development of an interface for data exchange and handling.4) Test and validation of the advanced control System (ML/LabVIEW) integrated in the AGATUR plant through dedicated experimental campaigns
Job posting website
Number of positions
1
Funding body
Università degli Studi Roma Tre
View the original posting on the MUR website: Go to MUR website