Sensorless flux observer-based fault detection of induction machines

Jean Pierre M. Masala; Krishna Busawon; Milutin Jovanovic; Richard Binns

doi:10.1109/EFEA.2018.8617075

Sensorless flux observer-based fault detection of induction machines

Jean Pierre M. Masala, Krishna Busawon, Milutin Jovanovic, Richard Binns

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we introduce a strategy for the design of a sensorless flux observer-based fault detection system for use with induction motors. To synthesise the flux observer for this machine, we use a third order model for induction machines expressed in term of complex differential equations. Since the equation of the rotor speed of the induction motor is complicated to analyse, we replace it by its behavioural model for the design of the flux observer. Moreover, we use the synthesised observer in order to investigate the effects of two common types of faults (i.e. voltage sag and the stator inter-turn short-circuit) that can occur in these machines. The validity of the proposed methodology is assessed via simulation results using a model of the induction motor.

Original language	English
Title of host publication	Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018
Editors	Ezio Santini, Stefano Di Gennaro, Claudio Bruzzese
Publisher	IEEE
ISBN (Electronic)	9781538655177
ISBN (Print)	9781538655184
DOIs	https://doi.org/10.1109/EFEA.2018.8617075
Publication status	Published - 21 Jan 2019
Event	5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018 - Rome, Italy Duration: 24 Sept 2018 → 26 Sept 2018

Conference

Conference	5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018
Country/Territory	Italy
City	Rome
Period	24/09/18 → 26/09/18

Access to Document

10.1109/EFEA.2018.8617075

Cite this

@inproceedings{b9ec3bb4eb3743bba0905440ef06d45e,

title = "Sensorless flux observer-based fault detection of induction machines",

abstract = "In this paper, we introduce a strategy for the design of a sensorless flux observer-based fault detection system for use with induction motors. To synthesise the flux observer for this machine, we use a third order model for induction machines expressed in term of complex differential equations. Since the equation of the rotor speed of the induction motor is complicated to analyse, we replace it by its behavioural model for the design of the flux observer. Moreover, we use the synthesised observer in order to investigate the effects of two common types of faults (i.e. voltage sag and the stator inter-turn short-circuit) that can occur in these machines. The validity of the proposed methodology is assessed via simulation results using a model of the induction motor.",

author = "Masala, \{Jean Pierre M.\} and Krishna Busawon and Milutin Jovanovic and Richard Binns",

year = "2019",

month = jan,

day = "21",

doi = "10.1109/EFEA.2018.8617075",

language = "English",

isbn = "9781538655184",

editor = "Ezio Santini and \{Di Gennaro\}, Stefano and Claudio Bruzzese",

booktitle = "Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018",

publisher = "IEEE",

address = "United States",

note = "5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018 ; Conference date: 24-09-2018 Through 26-09-2018",

}

Masala, JPM, Busawon, K , Jovanovic, M & Binns, R 2019, Sensorless flux observer-based fault detection of induction machines. in E Santini, S Di Gennaro & C Bruzzese (eds), Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018. IEEE, 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018, Rome, Italy, 24/09/18. https://doi.org/10.1109/EFEA.2018.8617075

Sensorless flux observer-based fault detection of induction machines. / Masala, Jean Pierre M.; Busawon, Krishna ; Jovanovic, Milutin et al.
Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018. ed. / Ezio Santini; Stefano Di Gennaro; Claudio Bruzzese. IEEE, 2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Sensorless flux observer-based fault detection of induction machines

AU - Masala, Jean Pierre M.

AU - Busawon, Krishna

AU - Jovanovic, Milutin

AU - Binns, Richard

PY - 2019/1/21

Y1 - 2019/1/21

N2 - In this paper, we introduce a strategy for the design of a sensorless flux observer-based fault detection system for use with induction motors. To synthesise the flux observer for this machine, we use a third order model for induction machines expressed in term of complex differential equations. Since the equation of the rotor speed of the induction motor is complicated to analyse, we replace it by its behavioural model for the design of the flux observer. Moreover, we use the synthesised observer in order to investigate the effects of two common types of faults (i.e. voltage sag and the stator inter-turn short-circuit) that can occur in these machines. The validity of the proposed methodology is assessed via simulation results using a model of the induction motor.

AB - In this paper, we introduce a strategy for the design of a sensorless flux observer-based fault detection system for use with induction motors. To synthesise the flux observer for this machine, we use a third order model for induction machines expressed in term of complex differential equations. Since the equation of the rotor speed of the induction motor is complicated to analyse, we replace it by its behavioural model for the design of the flux observer. Moreover, we use the synthesised observer in order to investigate the effects of two common types of faults (i.e. voltage sag and the stator inter-turn short-circuit) that can occur in these machines. The validity of the proposed methodology is assessed via simulation results using a model of the induction motor.

UR - https://www.scopus.com/pages/publications/85062300687

U2 - 10.1109/EFEA.2018.8617075

DO - 10.1109/EFEA.2018.8617075

M3 - Conference contribution

AN - SCOPUS:85062300687

SN - 9781538655184

BT - Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018

A2 - Santini, Ezio

A2 - Di Gennaro, Stefano

A2 - Bruzzese, Claudio

PB - IEEE

T2 - 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018

Y2 - 24 September 2018 through 26 September 2018

ER -

Sensorless flux observer-based fault detection of induction machines

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this