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Prediction of Vibration in Switched Reluctance Motor Drives using Mechanical Impulse Response Technique

Event Date: April 20, 2017
Speaker: Dr. Babak Fahimi
Speaker Affiliation: Founding Director, Renewable Energy And Vehicular Technology (REVT) University of Texas at Dallas
Time: 1:30pm
Location: WANG 1004
Contact Name: Professor Steve Pekarek
Priority: No
School or Program: Electrical and Computer Engineering
College Calendar: Show


Vibration and acoustic noise is a byproduct of the electromechanical energy conversion. Structural dynamics in the stator and rotor of a switched reluctance motor due to electromagnetic forces has been investigated extensively. This presentation summarizes the work on modeling and prediction of radial stator vibration of the SRM drives. A mechanical impulse response linking the acceleration of the stator in radial direction to the derivative of the input electrical power has been used in this approach. The talk also touches on coupling between stator and rotor vibrations and tries to extend the proposed approach to surface mounted permanent magnet synchronous machines. Experimental and numerical results will be given to support the claims.


Dr. Babak Fahimi received his B.S. and M.S. degrees in Electrical Engineering with the highest distinction from the University of Tehran, Iran in 1991 and 1993 respectively. He earned his Ph.D. in Electrical Engineering from Texas A&M University in 1999. Dr. Fahimi has been the recipient of DAAD scholarship (1993-1995), IEEE R.M. Bass Power Electronics Young Investigator Award (2003), SAE Ralph Teetor Educational award (2008), Fulbright scholarship in 2010, and IEEE Cyril Veinott electromechanical energy conversion award in 2015. Dr. Fahimi has co-authored 300 (85 Journal and 215 peer reviewed conference papers) scientific articles, 15 book chapters, and several technical reports in the general area of adjustable speed motor drives and power electronics. He holds 17 US patents and has 6 more pending. Dr. Fahimi has supervised 20 PhD (Four tenured/tenure track professors) and 18 M.S. students. He is a Fellow of IEEE for his contributions to modeling and analysis of adjustable speed ac motor drives.