Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3668
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

Files in This Item:
File Description SizeFormat 
10.jpg240.89 kBJPEGView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.