Lutfy, Omar F. and Selamat, Hazlina and Mohd. Noor, S. B. (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
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Official URL: http://dx.doi.org/10.1080/07373937.2015.1021007
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
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | genetic algorithm, system identification |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 55995 |
| Deposited By: | Fazli Masari |
| Deposited On: | 15 Nov 2016 08:06 |
| Last Modified: | 15 Feb 2017 00:44 |
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