Indonesia Conference Directory


<< Back

SYSTEM IDENTIFICATION OF SWITCHED RELUCTANCE MOTOR (SRM) USING BLACK BOX METHOD FOR ELECTRIC VEHICLE SPEED CONTROL SYSTEM
Muhammad Rizalul Wahid1, Nadana Ayzah Azis2, Endra Joelianto2

ITB


Abstract

Switched reluctance motor (SRM) as a driving force has a very important role in an electric vehicle because it is able to produce a large torque about 12.3 Nm and the speed is about 9600 rpm. There is no model that represents the real SRM motor. Model identification is done by 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 it detects 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 order 1 has a match with the real data of 93.65% and the order 2 has a greater match value of 93.7%.

Keywords: Electric Vehicles, Black Box Method, System identification, Switched reluctance motor (SRM),

Topic: Electric System, Drives, Motors, Machinery

Link: https://ifory.id/abstract/fhXV73DgYvFA

Conference: The 6th International Conference on Electric Vehicular Technology (ICEVT 2019)

Plain Format | Corresponding Author (Muhammad Rizalul Wahid)

Featured Events

<< Swipe >>
<< Swipe >>

Embed Logo

If your conference is listed in our system, please put our logo somewhere in your website. Simply copy-paste the HTML code below to your website (ask your web admin):

<a target="_blank" href="https://ifory.id"><img src="https://ifory.id/ifory.png" title="Ifory - Indonesia Conference Directory" width="150" height="" border="0"></a>

Site Stats