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Title: | High-Performance ANFIS Controller |
Authors: | Yousif Al Mashhadany |
Keywords: | Adaptive Neuro-Fuzzy Inference System Chopper-fed DC-motor drive Neuro Fuzzy controller |
Issue Date: | 2012 |
Publisher: | AASRI Procedia Journal ( https://www.sciencedirect.com/journal/aasri-procedia ) |
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. |
URI: | http://localhost:8080/xmlui/handle/123456789/3668 |
ISSN: | 2212-6716 |
Appears in Collections: | الهندسة الكهربائية |
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