THE OPERATION AREA ESTIMATION FOR A BRUSHLESS DC PERMANENT MAGNET MOTOR THROUGH THE NUMERICAL MODELS

Authors

  • Leonard MELCESCU University POLITEHNICA of Bucharest, Faculty of Electrical Engineering, Department of Electrical Machines, Materials and Drives
  • Ovidiu CRAIU University POLITEHNICA of Bucharest, Faculty of Electrical Engineering, Department of Electrical Machines, Materials and Drives

DOI:

https://doi.org/10.36801/

Keywords:

numerical modelling, Matlab, Simulink, brushless DC motor

Abstract

The paper presents two numerical methods for the operating area estimation in the speed-torque characteristic plane, for a permanent magnet brushless DC motor, feed from a DC voltage source through a PWM inverter. The first method consists in the elaboration in the MATLAB Simulink environment of a model for simulating the operation of the motor powered by the inverter, at the imposed speed and imposed current, controlled by means of a hysteresis regulator. The second method is based on a field-circuit coupling type transient numerical model, in which the inverter is implemented with circuit elements available in the library of the Flux2D software package. In this case, the inverter only ensures the switching of the currents, their values resulting according to the supply voltage. There are presented two scenarios for the motor running area estimation: operating at the imposed speed and operating at the imposed torque.

References

(1) D. Hanselman, Brushless Permanent Magnet Motor Design, 2nd ed.: The Writers' Collective, 2003.

(2) J.R. Hendershot, T.J.E. Miller, Design of Brushless Permanent-Magnet Machines, Motor Design Books LLC; Second Edition, 2010.

(3) TransÉnergie Technologies Hydro-Québec, SimPowerSystems For Use with Simulink, User’s Guide, , The MathWorks, Inc., 2004.

(4) CEDRAT Flux 2D User’s Guide, Vol 1-4, 2010.

Published

31.05.2024

Issue

Section

APME - general

How to Cite

THE OPERATION AREA ESTIMATION FOR A BRUSHLESS DC PERMANENT MAGNET MOTOR THROUGH THE NUMERICAL MODELS. (2024). ELECTRICAL MACHINES, MATERIALS AND DRIVES — PRESENT AND TRENDS, 15(1), 161-172. https://doi.org/10.36801/