A Novel Sensorless Method for Estimating Speed and Position in Brushed DC Motors Using Support Vector Machines

This paper presents a new sensorless method for estimating the speed and position of brushed DC motors using support vector machines (SVMs). The method detects pulses in the motor current signal and uses SVMs to classify the pulses, enabling the estimation of speed and position without mechanical sensors.