Citation
Lutfy, Omar F. and Selamat, Hazlina and Mohd Noor, Samsul Bahari
(2015)
Intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller.
Drying Technology, 33 (10).
pp. 1210-1222.
ISSN 0737-3937; ESSN: 1532-2300
Abstract
In this article, a nonlinear autoregressive with exogenous input (NARX) network was utilized to model a conveyor belt grain dryer using a set of input–output data collected during an experiment to dry paddy grains. The resulting NARX model has achieved a remarkable modeling accuracy compared to other previously reported modeling techniques. To control the considered dryer, a simplified type 2 adaptive neuro-fuzzy inference system (ANFIS) controller was proposed. The effectiveness of this controller was demonstrated by several performance tests conducted by computer simulations. Moreover, a comparative study with other related controllers further confirmed the superiority of the proposed dryer controller.
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Official URL or Download Paper: https://www.tandfonline.com/doi/abs/10.1080/073739...
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Engineering |
| DOI Number: | https://doi.org/10.1080/07373937.2015.1021007 |
| Publisher: | Taylor & Francis |
| Keywords: | Conveyor belt grain dryer; Genetic algorithm; System identification; Type 2 neuro-fuzzy controller |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 26 Nov 2008 15:50 |
| Last Modified: | 30 Mar 2018 08:23 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1080/07373937.2015.1021007 |
| URI: | http://psasir.upm.edu.my/id/eprint/782 |
| Statistic Details: | View Download Statistic |
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