Giovanni Donati
I received the B.S. and M.S. degrees in Mechanical Engineering from University of Florence, in 2018 and 2021, respectively. I am currently working toward the Ph.D. degree at the University of Pisa, Pisa, Italy. My main research interests include advanced control and fault diagnosis of magnetic bearings in high-speed rotating machinery and visual servoing of robotic systems.
Rotordynamics, active magnetic bearings, AMB, turbomachinery, robust control, fault detection, convolutional neural networks, robotics, visual servoing.
My research focuses on the application of magnetic bearings in turbomachinery for oil and gas industries. Specifically, the research investigates new robust controller architectures aimed at enhancing performance, along with innovative procedures for the automatic tuning of fixed-structure controllers (such as advanced PID controllers). Additionally, methods have been developed to improve the accuracy of modeling active magnetic bearing systems based on measurements, ensuring the synthesis of more robust and high-performance controllers. Furthermore, my research explores new methods for fault diagnosis in these mechatronic systems using convolutional neural networks.
I collaborate with Baker Hughes Company research and development department and with Rotating Machinery Dynamics and Control (RoMaDyC) in Washkewicz College of Engineering at Cleveland State University.