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Indonesian Journal of Electrical Engineering and Computer Science
Article . 2022 . Peer-reviewed
License: CC BY NC
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Article . 2022
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Experimental and numerical studies for parameters identification of direct current motor

Authors: Mohamad Nazir Abdullah; Mohd Khairunaz Mat Desa; Elmi Abu Bakar; Mohammad Nishat Akhtar;

Experimental and numerical studies for parameters identification of direct current motor

Abstract

<p><span>Direct current (DC) motors are widely used in many applications especially those require a speed control, direction and closed-loop control system. In electric vehicle drive system, DC motor is commonly used for the propulsion of low power (&lt;250 W) electric bicycle (e-bike) because it can operate directly from rechargeable batteries with a smart controller. In driving an e-bike in a closed loop control system, it is important to identify and estimate the dynamic of electrical and mechanical parameters. In this paper, the parameters such as armature resistance, armature inductance, back emf constant, torque constant, moment of inertia and viscous friction coefficient are ideally identified using dynamic responses experiments and tests focusing on no load motor and transient input tests. The motor is then modeled in MATLAB/Simulink using the identified motor parameters and its open loop speed and current responses are studied.</span></p>

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Keywords

Speed/current responses, Parameters identification, MATLAB/Simulink, E-bike, PMDC motor

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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