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http://localhost:8080/xmlui/handle/123456789/6284| Title: | High-Performance of Power System Based upon ANFIS (Adaptive Neuro-Fuzzy Inference System) Controller |
| Authors: | Al Mashhadany, Yousif |
| Keywords: | ANFIS controller power system high performance learning algorithm |
| Issue Date: | 2014 |
| Publisher: | Journal of Energy and Power Engineering 8 (2014) pp: 729-734 |
| Abstract: | The proposed controller incorporates FL (fuzzy logic) algorithm with ANN (artificial neural network). 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 is able to control dynamic highly-nonlinear systems. Tuning it further improved the results. |
| URI: | http://localhost:8080/xmlui/handle/123456789/6284 |
| ISSN: | 1947-3818 |
| Appears in Collections: | الهندسة الكهربائية |
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