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    Steering System of Electric Vehicle using Extreme Learning Machine

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    FT_Khairul Anam_Prosiding_Steering System of Electric Vehicle using Extreme Learning Machine.pdf (1.508Mb)
    Date
    2020-10-01
    Author
    AHMADI, Sofyan
    ANAM, Khairul
    SALEH, Azmi
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    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
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    • LSP-Conference Proceeding [1877]

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    UPA-TIK Copyright © 2024  Library University of Jember
    Contact Us | Send Feedback

    Indonesia DSpace Group :

    University of Jember Repository
    IPB University Scientific Repository
    UIN Syarif Hidayatullah Institutional Repository