Loading...
Please wait, while we are loading the content...
Intelligent Modeling and Control of a Conveyor Belt Grain Dryer Using a Simplified Type 2 Neuro-Fuzzy Controller
| Content Provider | Semantic Scholar |
|---|---|
| Author | Lutfy, Omar F. Selamat, Hazlina Noor, S. B. Mohd |
| Copyright Year | 2015 |
| 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. |
| Starting Page | 1210 |
| Ending Page | 1222 |
| Page Count | 13 |
| File Format | PDF HTM / HTML |
| DOI | 10.1080/07373937.2015.1021007 |
| Alternate Webpage(s) | http://psasir.upm.edu.my/id/eprint/782/1/Intelligent%20modeling%20and%20control%20of%20a%20conveyor%20belt%20grain%20dryer%20using%20a%20simplified%20type%202%20neuro-fuzzy%20controller.pdf |
| Alternate Webpage(s) | https://doi.org/10.1080/07373937.2015.1021007 |
| Volume Number | 33 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
