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http://localhost:8080/xmlui/handle/123456789/4202Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Mashhadany, Yousif Al | - |
| dc.date.accessioned | 2022-10-20T21:11:33Z | - |
| dc.date.available | 2022-10-20T21:11:33Z | - |
| dc.date.issued | 2013-11-09 | - |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/4202 | - |
| dc.description.abstract | The proposed controller incorporates fuzzy logic (FL) algorithm with artificial neural network (ANN). ANFIS replaces the conventional PI controller, tuning the fuzzy inference system with a hybrid learning algorithm. A tuning method is proposed for training of the neuro-fuzzy controller. The best rule base and the best training algorithm chosen produced high performance in the ANFIS controller. Simulation was done on Matlab Ver. 2010a. A case study was Chopper-Fed DC Motor Drive, in continuous and discrete modes. Satisfactory results show the ANFIS controller able to control dynamic highly-nonlinear systems. Tuning it further improved the results. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Proceedings of the 9Th International Symposium on Mechatronics and its Applications (ISMA13), Amman, Jordan, April 9-11, 2013 | en_US |
| dc.subject | High-Performance | en_US |
| dc.subject | Power System | en_US |
| dc.subject | Power System | en_US |
| dc.title | High-Performance Of Power System Based Upon Anfis Controller | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | الهندسة الكهربائية | |
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