DocumentCode :
796014
Title :
Computer-aided modeling of a rectified DC load-permanent magnet generator system with multiple damper windings in the natural abc frame of reference
Author :
Arkadan, A.A. ; Hijazi, T.M. ; Demerdash, N.A.
Author_Institution :
Marquette Univ., Milwaukee, WI, USA
Volume :
4
Issue :
3
fYear :
1989
fDate :
9/1/1989 12:00:00 AM
Firstpage :
518
Lastpage :
525
Abstract :
A computer-aided modeling method, used to analyze and predict the dynamic performance of electronically rectified load-permanent magnet generator systems, is presented. These generators include multiple damping circuits. Continuous electronic switching in such systems results in a continuous change in the machine system network topologies. Hence, network modeling of such systems is done on an instantaneous basis. The natural abc frame of reference is used throughout. This is an advantage in that effects of magnetic nonlinearities, space harmonics in the MMFs, and space in the flux density waveforms as well as winding flux linkages on all machine parameters are readily taken into account. This method is applied to a two-pole, 74 kVA, 208 V, 24000 r/min permanent magnet generator, to study the generator-load system performance. Furthermore, the use of the model in studying rotor damping design options and effects of electronic component failure in the associated rectifier bridge on the generator-rectifier load system performance is given
Keywords :
DC generators; damping; electric machine CAD; machine windings; rectifying circuits; 208 V; 75 kVA; computer-aided modeling; continuous electronic switching; dynamic performance; electronic component failure; flux density waveforms; machine system network topologies; magnetic nonlinearities; multiple damper windings; natural abc frame of reference; rectified DC load-permanent magnet generator system; rectifier bridge; rotor damping; space harmonics; two-pole generator; winding flux linkages; Circuits; Couplings; Damping; Machine windings; Magnetic analysis; Magnetic flux; Network topology; Performance analysis; Predictive models; System performance;
fLanguage :
English
Journal_Title :
Energy Conversion, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8969
Type :
jour
DOI :
10.1109/60.43257
Filename :
43257
Link To Document :
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