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[ pdf ] FUZZY EXTREME LEARNING MACHINE ALGORITHM FOR MATRIX CONVERTER

FUZZY EXTREME LEARNING MACHINE ALGORITHM FOR MATRIX CONVERTER Download
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Topic under  Control Mode
Source: www.ijric.org 
File size: 309.36 KB
File type: pdf
Last download on: Wed Nov 29, 2017 03:30:14 PM
Short Desciption:
This paper is focused on Fuzzy Extreme Learning Machine (ELM) algorithm based field oriented control system for induction motor fed by Matrix Converter drive.

Summary:
This paper is focused on Fuzzy Extreme Learning Machine (ELM) algorithm based field oriented control system for induction motor fed by Matrix Converter drive. The use of fuzzy ELM algorithm based ANN Controllers in the FOC system reduces the computation time. The controller is used to compute the appropriate set of switching voltage vectors for matrix converter to achieve the maximum efficiency for any value of operating torque and motor speed. In this paper, the Matrix Converter with field oriented control system is designed using MATLAB/SIMULINK toolbox. Initially, fuzzy logic controllers are used as current and torque controllers. ELM controller is designed to replace space vector modulation circuit in the conventional field oriented control system. The three inputs to the Fuzzy ELM controller are Va *, Vb * and Vc * and the outputs of the ELM controller are voltage vectors for appropriate switching of matrix converter. The performance of the induction motor is tested for various reference speed and torque values. The speed and torque curves of the induction motor shows that the use of ELM controller reduces the ripples in torque and reduces the response time in the speed curve due to the fast response time of the ELM Controller Keywords:Matrix Converter, Fuzzy logic Controllers, Extreme Learning Machine Algorithm, Field Oriented Control, Induction Motor
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