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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149559
Doc. No : ET21351
Main Entry : Angel A. Aquino Lugo
Title Proper : GRAY BOX MODELING OF ELECTRIC DRIVES USING RADIAL BASIS FUNCTIONS: AN EXPERIMENTAL CASE
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Modeling of electric drives coupled to complex mechanical loads may be a challenging task.Since the electric drives are commonly used in the industry, for many applications isdesirable to have the capability of self-tuning the controller parameters to drive differentmechanical load. A possible solution consists of correctly identify the drive and themechanical load. For that reason, gray-box modeling using neural networks is presented as apossible solution for the identification of the mechanical loads and the drive system. In theproposed gray-box modeling, the drive system is divided into the known part governed bythe physical laws, which in our case was the electrical subsystem, and an unknown part,which in our case was the mechanical subsystem. This type of approach is known as a twostage identification process. At each stage, the parameters are estimated using the method oflinear and recursive linear least squares. To validate the effectiveness of this approach,simulations and experiments were perform and their results are presented in this work..
Subject : Electericl tess
: برق
electronic file name : TL44508.pdf
Title and statement of responsibility and : GRAY BOX MODELING OF ELECTRIC DRIVES USING RADIAL BASIS FUNCTIONS: AN EXPERIMENTAL CASE [Thesis]
 
 
 
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