Steering System of Electric Vehicle using Extreme Learning Machine

dc.contributor.author	AHMADI, Sofyan
dc.contributor.author	ANAM, Khairul
dc.contributor.author	SALEH, Azmi
dc.date.accessioned	2021-03-03T03:53:58Z
dc.date.available	2021-03-03T03:53:58Z
dc.date.issued	2020-10-01
dc.identifier.uri	http://repository.unej.ac.id/handle/123456789/103245
dc.description.abstract	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).	en_US
dc.language.iso	en	en_US
dc.publisher	FAKULTAS TEKNIK	en_US
dc.subject	Differential Electronics	en_US
dc.subject	Extreme Learning Machine	en_US
dc.subject	Acceleration	en_US
dc.subject	Efficiency	en_US
dc.subject	BLDC Motor	en_US
dc.title	Steering System of Electric Vehicle using Extreme Learning Machine	en_US
dc.type	Article	en_US
dc.identifier.prodi	TEKNIK ELEKTRO
dc.identifier.kodeprodi	1910201
dc.identifier.nidn	0005047804