System Identification of Switched Reluctance Motor (SRM) Using Black Box Method for Electric Vehicle Speed Control System

Abstract

Switched reluctance motor (SRM) as a driving force has a very important role in an electric vehicle because of the ability to produce large torque about 12.3 Nm and speed about 9600 rpm. Currently, there is no suitable model that represents the real SRM motor. This paper presents model identification of the SRM motor using the Black Box method in the Matlab System Identification Toolbox (SIT). The speed output of the SRM motor is measured externally by a sensor based on the hall effect principle, which gives a high pulse of 4.27 volts every detection of an existing magnet at the motor rotation. The speed sensor of motor is simulated and validated using the Intelligent Schematic Input System (ISIS) software on the Proteus before it is implemented into the SRM motor. The results are obtained in the form of transfer function system with order 1 and order 2. The first order and second order models result in 93.65% and 93.7% approximation to the real data respectively.