The use of wide bandgap semiconductor devices, such as SiC and GaN MOSFETs, in high-frequency converters introduces new challenges for the design of electric drives. The very fast switching transient of which these devices are capable, in fact, can become a serious threat for the reliability of the entire system. Electromagnetic interferences due to the high dv/dt and di/dt, voltage reflections along the cable that cause overvoltage and ringing at the motor terminals, and large common-mode voltages that produce current circulation in the motor bearings are recognized as the major phenomena leading to premature failure of the drive. It is therefore important for designers to approach the problem from a system point of view, having the possibility to accurately model the system in the high frequency domain to take appropriate measures to increase reliability. In this paper, an automated fitting procedure is proposed to identify one of the most accurate high-frequency models of an induction machine. The procedure relies on the experimental measurement of the differential, common-mode and parasitic impedance of the tested machine and adopts Exchange Market optimization algorithm to search for the best approximation of the three measured impedances. Implementation issues and advantages are presented and discussed.

A Method for the Parameter Identification of an AC Motor High-Frequency Model Based on the Exchange Market Algorithm / Bruno, L.; Monopoli, V. G.. - (2022), pp. 288-293. (Intervento presentato al convegno 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022 tenutosi a ita nel 2022) [10.1109/SPEEDAM53979.2022.9842153].

A Method for the Parameter Identification of an AC Motor High-Frequency Model Based on the Exchange Market Algorithm

Bruno L.;Monopoli V. G.
2022-01-01

Abstract

The use of wide bandgap semiconductor devices, such as SiC and GaN MOSFETs, in high-frequency converters introduces new challenges for the design of electric drives. The very fast switching transient of which these devices are capable, in fact, can become a serious threat for the reliability of the entire system. Electromagnetic interferences due to the high dv/dt and di/dt, voltage reflections along the cable that cause overvoltage and ringing at the motor terminals, and large common-mode voltages that produce current circulation in the motor bearings are recognized as the major phenomena leading to premature failure of the drive. It is therefore important for designers to approach the problem from a system point of view, having the possibility to accurately model the system in the high frequency domain to take appropriate measures to increase reliability. In this paper, an automated fitting procedure is proposed to identify one of the most accurate high-frequency models of an induction machine. The procedure relies on the experimental measurement of the differential, common-mode and parasitic impedance of the tested machine and adopts Exchange Market optimization algorithm to search for the best approximation of the three measured impedances. Implementation issues and advantages are presented and discussed.
2022
2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022
978-1-6654-8459-6
A Method for the Parameter Identification of an AC Motor High-Frequency Model Based on the Exchange Market Algorithm / Bruno, L.; Monopoli, V. G.. - (2022), pp. 288-293. (Intervento presentato al convegno 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022 tenutosi a ita nel 2022) [10.1109/SPEEDAM53979.2022.9842153].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/249080
Citazioni
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact