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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151700
Doc. No : ET23492
Main Entry : RAJ 1,IO H A 1 B HARAD\\XJ
Title Proper : AD,IPTIVE ST.-ITE FILTERISG WITH SEURAL XET\k-OREiS FOR SESSORLESS ISDC'CTIOS MOTOR SPEED ESTIlL..TIOl-
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Effective sensorless dynamic speed estimation is desirable for both on-line induc-t ion motor condition monitoring and speed sensorless mot or-drive applications. Inthis research a "semi-parametric" adaptive speed filter is used for induction motorspeed estimation. The proposed method of speed filtering is based on recurrent neu-ral networks and it is an application of a recently developed adaptive state filteringalgorithm.Tbe adaptive speed filter is formulated using the two-step prediction-update a pproach, based on the fundamental principles of the Kalman Filter. The proposedadaptive speed filter is constructed using neural networks, which are trained usingmeasured terminal voltages, currents, and inferred motor speed. The rotor slot har-monic detection-based inferred speed estimates are used as targets for t he adaptivespeed filter training. In addition to the measured motor terminal quantities and in-ferred speed, only motor nameplate information is required for the adaptive speedfilter setup and operation.Two adaptive speed filters are developed for motor speed estimation: one for......-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46733.pdf
Title and statement of responsibility and : AD,IPTIVE ST.-ITE FILTERISG WITH SEURAL XET\k-OREiS FOR SESSORLESS ISDC'CTIOS MOTOR SPEED ESTIlL..TIOl- [Thesis]
 
 
 
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