Startseite Detecting of Multi Phase Inter Turn Short Circuit in the Five Permanent Magnet Synchronous Motor
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Detecting of Multi Phase Inter Turn Short Circuit in the Five Permanent Magnet Synchronous Motor

  • N. Yassa EMAIL logo , M. Rachek , A. Djerdir und M. Becherif
Veröffentlicht/Copyright: 30. September 2016

Abstract

This paper proposes a general model of five phase permanent magnet synchronous machine (PMSM) which is capable of representing the multiphase Inter Turn Short Circuit (ITSC) occurring in several phase simultaneously this model is based on a coupled magnetic circuit approach leading to a differential equations system goveming the induction machine behavior. The obtained time-differential state equations system is implemented under Matlab environment and numerically solved using the fourth order Rung-Kutta method with variable step time corrected at each rotor displacement through the electromagnetic torque. Also, Fast Fourier Transform and (FFT) analysis is performed to the phase current signal to detect the frequency spectrum, Power Spectral Density (PSD) is chosen as a classification method. Its efficiency depends on its ability to discriminate between various faults generating the same range of harmonics in the stator current spectrum and on its ability to evaluate the fault severity. So, in order to improve the efficiency of these diagnosis methods, one needs a relatively accurate model to simulate the five-phase PMSM in the case of inter-tum short circuit fault helping to predict performances andor to extract fault signature in the machine main quantities. Simulation work has been carried out using MATLAB to verify the performance of the proposed detection/diagnosis method.

Appendix

The specifications of the presented PMSM are summarized in Table 1.

Table 1:

Specifications of the presented PMSM.

ComponentsRating values
Pn Rated power335 W
V Voltage33 V
F Frequency66.67 Hz
Nn Rated speed1,000 rpm
p Number of poles pairs3
Rs Stator resistance1.44 Ω
Ls=Lls+Lm Inductance3.2 mH
Lm mutual inductance0.13 mH
φm magnetic flux0.3 web
J Moment of Inertia0.000165 kg.m2

References

1. Baudart F, Matagne E, Dehez B, Labrique F. Optimal current waveforms for torque control of permanent magnet synchronous machines with any number of phases in open circuit. Math Comput Simul Apr 2013;90:1–14.10.1016/j.matcom.2012.05.008Suche in Google Scholar

2. de la Cruz J, Ramirez* J, Leyva L. Voltage THD improvement for an outer rotor permanent magnet synchronous Machine. Int J Emerg Electr Power Syst 2013;14(5):459–65.10.1515/ijeeps-2013-0072Suche in Google Scholar

3. Dwari S, Parsa L. An optimal control technique for multiphase PM machines under open-circuit fault. IEET Trans Ind Electron May 2008;55(5):1988–95.10.1109/TIE.2008.920643Suche in Google Scholar

4. Bianchi N, Bolognani S, Dai Pré M. Impact of stator winding of a five – phase permanent – magnet motor on post fault operations. IEET Trans Ind Electron May 2008;55(5):1978–87.10.1109/TIE.2008.920645Suche in Google Scholar

5. Tang W, Liu G, Ji J. Winding turn to turn faults detection of five-phase fault – tolerant permanent – magnet machine based on parametric model. In International Conference on Electrical Machines and Systems (ICEMS), 2012:1–6.Suche in Google Scholar

6. Bonnett A, Yung C. Increased efficiency versus increased reliability. IEEE Ind Appl Mag Jan/Feb 2008;14(1):29–36.10.1109/MIA.2007.909802Suche in Google Scholar

7. Raminosoa T, Gerada C, Othman N, Lillo LD. Rotor losses in fault –tolerant permanent magnet synchronous machines. IEET Electr Power App 2011;5(1):75–88.10.1049/iet-epa.2009.0287Suche in Google Scholar

8. Choi JH, Gu B-G, Won C-Y. Modeling and analysis of PMSMs under inter turn short faults. Electr Eng Technol 2013;8(5):1243–50.10.5370/JEET.2013.8.5.1243Suche in Google Scholar

9. Urresty J-C, Riba J-R, Romeral L. Diagnosis of inter-turn faults in PMSMs operating under non stationary conditions by applying order tracking filtering. Trans Power Electron Jan. 2013;28(1):507–15.10.1109/TPEL.2012.2198077Suche in Google Scholar

10. Casadei D, Filippetti F, Mengoni M, Gritli Y, Serra G, Tani A, et al.. Detection of magnet demagnetization in five –phase surface-mounted permanent magnet generators, In Pro. 3rd IEEE International Symposium on power Electronics for Distributed Generator systems (PEDG), 2012:841–8.10.1109/PEDG.2012.6254099Suche in Google Scholar

11. Arumugam P, Hamiti T, Gerada C. Analytical modeling of a vertically distributed winding configuration for fault tolerant permanent magnet machines to suppress inter-turn short circuit current limiting. In IEEE international Electric Machines & Drives Conference IEMDC 2011:371–6.10.1109/IEMDC.2011.5994623Suche in Google Scholar

12. Hamdani S, Mezerreg H, Boutikar B, Lahcene N, Touhami O, Ibtiouen R. Rotor Fault diagnosis in squirrel cage induction machine using support vector, 978-1-4673-0142-8/2012 IEEE10.1109/ICElMach.2012.6350128Suche in Google Scholar

13. Joksimovic G, Riger J, Wolbank T, Peric N, Vasak M. Stator line current spectrum content of a healthy cage rotor induction machine. In Proc. IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics & Drives (SDEMPED), Sept 2011:113–18.10.1109/DEMPED.2011.6063610Suche in Google Scholar

14. Haji M, Ahmed S, Toliyat HA. Induction machines performance evaluator torque speed estimation and rotor fault diagnostic. In Proc. IEEE 17th Annual Applied Power Electronics Conference and Exposition (APEC), Vol. 2, Mars 2002:764–69.Suche in Google Scholar

15. Misra R, Pahuja GL. Fuzzy Logic based rotor health index of induction motor. Int J Emerg Electr Power Syst 2015;16(5):443–9.10.1515/ijeeps-2015-0032Suche in Google Scholar

16. Khorashadi Zadeh H. An ANN-based high impedance fault detection scheme: design and implementation. Int J Emerg Electr Power Syst 2005;4(2), Article 1.10.2202/1553-779X.1046Suche in Google Scholar

17. Ravikumar B, Dhadbanjan T, Khincha HP. Intelligent approach for fault diagnosis in power transmission systems using support vector machines. Int J Emerg Electr Power Syst 2007;8(4), Article 3.10.2202/1553-779X.1556Suche in Google Scholar

Published Online: 2016-9-30
Published in Print: 2016-10-1

©2016 by De Gruyter

Heruntergeladen am 20.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/ijeeps-2016-0084/html
Button zum nach oben scrollen