Experimental dataset to develop a parametric model based of DC geared motor in feeder machine
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 experiment was conducted to measure the input (voltage) and output (voltage) data. The act...
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| Format: | Article |
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Institute of Advanced Engineering and Science (IAES)
2019
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| Online Access: | http://eprints.uthm.edu.my/3757/ http://doi.org/10.11591/ijece.v9i3.pp1576-1584 |
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| _version_ | 1833417422241005568 |
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| author | Azlan, W. M Salleh, S. M Mahzan, S Sadikin, A Ahmad, S |
| author_facet | Azlan, W. M Salleh, S. M Mahzan, S Sadikin, A Ahmad, S |
| author_sort | Azlan, W. M |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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 experiment was conducted to measure the input (voltage) and output (voltage) data. The actual data is used to be optimized using PSO algorithm. The parameter emphasized is time, mean square error (mse) and average time. One of the best models has been chosen based on the optimum parameters. |
| format | Article |
| id | my.uthm.eprints-3757 |
| institution | Universiti Tun Hussein Onn Malaysia |
| publishDate | 2019 |
| publisher | Institute of Advanced Engineering and Science (IAES) |
| record_format | eprints |
| spelling | my.uthm.eprints-37572021-11-22T02:20:42Z http://eprints.uthm.edu.my/3757/ Experimental dataset to develop a parametric model based of DC geared motor in feeder machine Azlan, W. M Salleh, S. M Mahzan, S Sadikin, A Ahmad, S QC Physics 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 experiment was conducted to measure the input (voltage) and output (voltage) data. The actual data is used to be optimized using PSO algorithm. The parameter emphasized is time, mean square error (mse) and average time. One of the best models has been chosen based on the optimum parameters. Institute of Advanced Engineering and Science (IAES) 2019 Article PeerReviewed Azlan, W. M and Salleh, S. M and Mahzan, S and Sadikin, A and Ahmad, S (2019) Experimental dataset to develop a parametric model based of DC geared motor in feeder machine. International Journal of Electrical and Computer Engineering (IJECE), 9 (3). pp. 1-5. ISSN 2088-8708 http://doi.org/10.11591/ijece.v9i3.pp1576-1584 |
| spellingShingle | QC Physics Azlan, W. M Salleh, S. M Mahzan, S Sadikin, A Ahmad, S Experimental dataset to develop a parametric model based of DC geared motor in feeder machine |
| title | Experimental dataset to develop a parametric model based of DC geared motor in feeder machine |
| title_full | Experimental dataset to develop a parametric model based of DC geared motor in feeder machine |
| title_fullStr | Experimental dataset to develop a parametric model based of DC geared motor in feeder machine |
| title_full_unstemmed | Experimental dataset to develop a parametric model based of DC geared motor in feeder machine |
| title_short | Experimental dataset to develop a parametric model based of DC geared motor in feeder machine |
| title_sort | experimental dataset to develop a parametric model based of dc geared motor in feeder machine |
| topic | QC Physics |
| url | http://eprints.uthm.edu.my/3757/ http://doi.org/10.11591/ijece.v9i3.pp1576-1584 |
| url_provider | http://eprints.uthm.edu.my/ |