This paper describes in detail an efficient simulation tool for rotors on magnetic bearings suitable for application on turbomachinery in the gas and oil field. Unlike roll bearings, magnetic bearings are active systems that need special treatment for assessing their stability and robustness, that strongly depend on the dynamic behavior of the other components of the system (actuators, sensors, etc.). In this sense, sensors are critical components in these systems because of their variation in sensibility in time and the difficulty in assessing their real parameters. This simulation tool is designed to help in the choice of sensors for a given system in order to assess its suitability.

A simulation tool for sensor selection in AMB rotor supported systems / Basso, M; Donati, G; Mugnaini, M. - ELETTRONICO. - (2023), pp. 1-6. (Intervento presentato al convegno 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) tenutosi a Kuala Lumpur, Malaysia nel 22-25 May 2023) [10.1109/I2MTC53148.2023.10176113].

A simulation tool for sensor selection in AMB rotor supported systems

Basso, M;
2023

Abstract

This paper describes in detail an efficient simulation tool for rotors on magnetic bearings suitable for application on turbomachinery in the gas and oil field. Unlike roll bearings, magnetic bearings are active systems that need special treatment for assessing their stability and robustness, that strongly depend on the dynamic behavior of the other components of the system (actuators, sensors, etc.). In this sense, sensors are critical components in these systems because of their variation in sensibility in time and the difficulty in assessing their real parameters. This simulation tool is designed to help in the choice of sensors for a given system in order to assess its suitability.
2023
2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
Kuala Lumpur, Malaysia
22-25 May 2023
Basso, M; Donati, G; Mugnaini, M
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1343971
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