Open and Short Circuit Diagnosis of a VSI Fed Three Phase Induction Motor Drive Using Fuzzy Logic Technique
(*) Corresponding author
Diagnosing the faults in an induction motor drive has always been a challenging task for the engineers in recent industrial applications. Usually current monitoring techniques are applied to detect various types of induction motor faults. Park’s vectors derived from the stator currents are used for diagnosing faults between the three phase voltage source inverter and the induction motor. In this paper, the fuzzy logic approach with park’s vectors is employed for diagnosing faults such as double line open circuit fault and double line short circuit fault which occur in voltage source inverter fed induction motor. The simulation for faults diagnosis is carried out for 4 kW Induction motor using MATLAB software and the results are discussed.
Copyright © 2013 Praise Worthy Prize - All rights reserved.
M.E.H. Benbouzid, H. Nejjari, A simple fuzzy logic approach for induction motors stator condition monitoring, International Electric Machines and Drives Conference, IEMDC 2001, pp. 634 – 639.
Zhongming, Ye, Simulation of Electrical Faults of Three Phase Induction Motor Drive System, Proceedings of the IEEE 2001.
A. Ansari, D.M. Deshpande, Mathematical Model of Asynchronous Machine in MATLAB Simulink, International Journal of Engineering Science and Technology, Vol. 2(5), 2010, 1260-1267.
Robertson, C. Jeffrey, Ong, CheeMun, Detecting stator and rotor winding faults in three-phase induction machines, ECE Technical Reports, Paper 115, 1995.
S. Sivakotaiah, V.P. Mini, A.S. Shajilal, Fault Detection of Induction motor by Fuzzy Logic Algorithm. 10th National Conference on Technological Trends (NCTT09), 6-7 Nov, 2009.
L.A.Pereira, D.Gazzana, F.A.Luís, Motor Current Signature Analysis and Fuzzy Logic Applied to the Diagnosis of Short-Circuit Faults in Induction Motors, Proceedings of the IEEE, 2005.
Jorge O. Estima and Antonio J. Marques Cardosa, A new approach for real time multiple open circuit fault diagnosis in voltage source inverters, IEEE transactions on industry applications, vol.47, No. 6, November/December 2011.
J.M.Mendel, Fuzzy logic systems for engineering: a tutorial. Proceedings of the IEEE, vol. 83, March 1995, pp. 345-377.
A.Ourici, Fault Classification of a Doubly Fed Induction Machine Using Neural Network, World Academy of Science, Engineering and Technology, vol. 54, 2009.
Ross, T.J, Fuzzy logic with engineering applications. John Wiley & Sons Ltd, England.
M.E.H. Benbouzid, A review of induction motors signature analysis as a medium for faults detection, IEEE Trans. Industrial Electronics, vol. 47, no. 5, October 2000, pp. 984-993.
M.Y. Chow et al., Motor Incipient Fault Detection Using Artificial Neural Network and Fuzzy Logic Technologies, in Computer Aided Maintenance, Methodology and Practices. J. Lee, Chapman Hall, 1996.
E. Ritchie et al., Diagnosis of rotor faults in squirrel cage induction motors using a fuzzy logic approach, Proceedings of the I994 International Conference on Electrical Machines, Paris (France),vol. 2, pp. 348.
Fernando Briz, Michael W.Degner, Juan M. Guernero and Pablo Garcia, Stator windings fault diagnostics of induction machines operated from inverters and soft-starters using high frequency negative sequence currents, IEEE transactions on industry applications, vol.45, 1637-1646, September / October 2009.
Demba Diallo, Mohamed El Hachemi Benbouzid, Denis Hamad and Xavier Pierre, Fault detection and diagnosis in an induction machine drive: A pattern recognition approach based on Concordia stator mean current vector, IEEE transactions on energy conversion, vol.20, pp.512-519, 2005
M.Abul Masrur, Z.Chen and Y.Murphey, Intelligent diagnosis of open and short circuit faults in electric drive inverters for real time applications, IET power electronics, vol.3, pp.279-291, 2010.
M.Sudha and P.Anbalagan, A protection scheme for three phase induction motor from incipient faults using embedded controller, Asian Journal of scientific research 2(1), pp.28-50, 2009.
Kesler, S., Akpinar, A.S., Saygin, A., Oner, Y., DSP implementation of a variable speed drive using fuzzy logic based voltage injection method for wound-rotor induction machines, (2008) International Review of Electrical Engineering (IREE), 3 (6), pp. 962-974.
Ma, T.-T., On the design of fuzzy based iterative learning controllers for induction motor drives, (2010) International Review of Electrical Engineering (IREE), 5 (2), pp. 462-472.
Fatiha Zidani, Demba Diallo, Mohamed El Hachemi Benbouzid and Rachid Nait Said, A fuzzy based approach for the diagnosis of fault modes in a voltage fed PWM inverter induction motor drive, IEEE transactions on industrial electronics, vol.55(2), pp.586-593, February 2008.
Reza Kianinezhad, Babak Nahid-Mobarakeh, Lotfi Baghli, Franck Betin and Gerard Andre Capolino, Modeling and control of six phase symmetrical induction machine under fault condition due to open phases, IEEE transactions on industrial electronics, vol.55(5), pp.1966-1977, May 2008.
M.Zeraoulia, A Mamoune, H.Mangel, M.E.H. Benbouzid, A simple fuzzy logic approach for induction motors stator current monitoring, Journal of electrical systems 1-1, pp.15-25, 2005.
Ayyakrishnan, M., Manikandan, V., Comparison of fuzzy and FPGA based fault tolerant schemes for four switch space vector PWM inverters, (2013) International Review of Electrical Engineering (IREE), 8 (5), pp. 1395-1402.
Fiorenzo Filippetti, Giovanni Franceschini, Carla Tassoni and Petervas, Recent development of induction motor drives fault diagnosis using AI techniques, IEEE transactions on industrial electronics, vol.47, pp.994-1004, October 2000.
- There are currently no refbacks.
Please send any question about this web site to firstname.lastname@example.org
Copyright © 2005-2023 Praise Worthy Prize