Title :
Analytical prediction of stator flux density waveforms and iron losses in brushless DC machines, accounting for load condition
Author :
Zhu, Z.Q. ; Ng, Kung Bo ; Howe, David
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Sheffield
Abstract :
An analytically based technique for predicting on-load flux density waveforms in different regions of the stator core and the associated iron loss density of permanent magnet brushless DC motors is described. It combines an analytical model for predicting the instantaneous airgap field distribution with a nonlinear lumped reluctance model of the motor, accounting for time and spatial harmonics. Predicted flux density waveforms and iron loss under various load conditions are compared with those derived from finite element analysis and measurements
Keywords :
brushless DC motors; losses; magnetic flux; permanent magnet motors; stators; 150 W; 4-pole 3-phase brushless DC motor; air-gap field distribution; brushless DC machines; iron loss density; iron losses prediction; load condition; on-load flux density waveforms; permanent magnet brushless DC motors; stator core; stator flux density waveforms prediction; Analytical models; Brushless DC motors; DC motors; Finite element methods; Iron; Magnetic analysis; Permanent magnet motors; Predictive models; Reluctance motors; Stator cores;
Conference_Titel :
Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
7-5062-5115-9
DOI :
10.1109/ICEMS.2001.971801
