Sensorless Brushless DC Motor Drive with Improved Speed Estimation Accuracy Using Stator Resistance Estimation

Abstract

This paper describes a method for simultaneous state variables and parameters estimation of a brushless DC motor. The extended Kalman filter is applied for motor state variables and parameters estimation using measured values of the stator line voltages and currents. The experimental results of the speed, rotor position and stator resistance estimation are presented. The results are obtained using two variants of the estimation algorithm. The first one deals with only state motor variables, and in the other one the motor variables and stator resistance are estimated simultaneously. By introducing the estimation of the stator resistance the speed estimation accuracy is increased, particularly at low speed.

Božo Terzić

Full Professor | Department of Electrical Drives and Industrial Control

Full professor at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture in Split, with significant contributions in the field of industrial development projects including the design of prototypes of electronic converters used in industrial plants around the world. His research interests are focused on the application of electronic converters in electric drives and renewable energy sources.