Response Improvement of BLDC Motor Speed using Extreme Learning Machine Controller

Abstract

BLDC motor is the most popular and most widely used in various industrial application or electric vehicle. The BLDC motor was chosen because it have advantages than other types of motor. Some of the advantages are high torque and high efficiency. In the BLDC motor researchs, the most popular is BLDC motor speed controller using intelligent system, but there is not research use Extreme Learning Machine (ELM). In this research will be discussed comparison Extreme Learning Machine (ELM) control and PID in the desired speed. Some parameters for the control system used to assess the performance of each controller. The results indicated that ELM has a better performance than PID in settling time and control system performance assessments.