International Journal of Electrical and Computer Engineering
Vol 9, No 3: June 2019

Experimental dataset to develop a parametric model based of DC geared motor in feeder machine

Azlan. W. M. (Universiti Tun Hussein Onn Malaysia)
Salleh S. M. (Department of Engineering Mechanics)
Mahzan S (Universiti Tun Hussein Onn Malaysia)
Sadikin A (Universiti Tun Hussein Onn Malaysia)
Ahmad S (Universiti Tun Hussein Onn Malaysia)

Article Info

Publish Date
01 Jun 2019

Abstract

This paper presents the application of a System Identification based on Particle Swarm Optimization (PSO) technique to develop parametric model of experimental dataset of DC Geared motor in feeder machine. The experimental was conducted to measure the input (voltage) and output (speed) data. The actual data is used to be optimized using PSO algorithm. The parameter emphasized is Time, Man Square Error (MSE) and Average Time. One of the best model has been chosen based on the optimum parameters.

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Journal Info
International Journal of Electrical and Computer Engineering
Website

Abbrev

IJECE

Publisher

Institute of Advanced Engineering and Science

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...