Steering System of Electric Vehicle using Extreme Learning Machine

Sofyan Ahmadi (Universitas Jember)
Khairul Anam (Universitas Jember)
Azmi Saleh (Universitas Jember)

Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 7, No 1: EECSI 2020

The development of electric vehicle technology is currently increasing and growing very fast. Some efforts have been conducted, one of which is using BLDC (brushless direct current) motors to improve efficiency. This study utilized extreme learning machine (ELM) embedded on the microcontroller as well as the differential method for controlling the rotational speed of the BLDC motor. The experimental results on the acceleration testing by traveling a distance of 200 meters achieved the average current of 1.09 amperes. The average power efficiency test is 104 watts. Furthermore, the results of the efficiency experiment with a track length of 3.3 km (kilometers) in 10 minutes obtained the energy efficiency of 177.34 km/kWh (kilowatt for one hour)