The student who made the title of this Final Project was Adhie Arya Satria from the D4 Ship Electrical Engineering Study Program.
Along with the development of technology, the use of motorized vehicles electricity will increase rapidly and will begin to replace motorized vehicles conventional. One of them is an electric motor that uses a BLDC motor. For to make a rotating BLDC motor requires a sinusoidal signal voltage. From the test results BLDC motors that are implemented on electric motors, encountered problems in the output power generated by the BLDC motor driver is still not optimal. Thing This is due to several conditions, one of which is change speed and braking conditions are adjusted to the vehicle user electric motor.
In this study aims to create a network model Artificial neural Extreme Learning Machine (ELM) to control the PWM signal channeled to the BLDC motor driver which will issue a signal voltage sinusoidal which is able to rotate the BLDC motor according to the user's wishes. Model ELM artificial neural network was chosen because of its impressive classification performance and also superior to other artificial neural network models in terms of speed network training.
Simulation of Speed Control Design on Brushless DC Motor (BLDC) Based on Extreme Learning Machine (ELM)
Simulation series of Speed Control Design on Brushless DC Motors (BLDC) Based on Extreme Learning Machine (ELM)
