Steering System of Electric Vehicle using Extreme Learning Machine

Please use this identifier to cite or link to this item: https://repository.unej.ac.id/xmlui/handle/123456789/103245

Title:	Steering System of Electric Vehicle using Extreme Learning Machine
Authors:	AHMADI, Sofyan ANAM, Khairul SALEH, Azmi
Keywords:	Differential Electronics Extreme Learning Machine Acceleration Efficiency BLDC Motor
Issue Date:	1-Oct-2020
Publisher:	FAKULTAS TEKNIK
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).
URI:	http://repository.unej.ac.id/handle/123456789/103245
Appears in Collections:	LSP-Conference Proceeding

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FT_Khairul Anam_Prosiding_Steering System of Electric Vehicle using Extreme Learning Machine.pdf		1.54 MB	Adobe PDF	View/Open

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