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
Full text not available from this repository. (Request a copy)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 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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | DC Geared Motor; System Identification; Parametric Model |
| Subjects: | Q Science > QC Physics |
| Divisions: | Faculty of Mechanical and Manufacturing Engineering > Department of Mechanical Engineering |
| Depositing User: | Miss Afiqah Faiqah Mohd Hafiz |
| Date Deposited: | 22 Nov 2021 02:20 |
| Last Modified: | 22 Nov 2021 02:20 |
| URI: | http://eprints.uthm.edu.my/id/eprint/3757 |
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