<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>Sensorless Speed Control of Induction Motors with DTC Based on EKF</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 3 (2009)</Volume>
			<Issue>Issue 4, March 2009</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>28</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>Sensorless Speed Control of Induction Motors with DTC Based on EKF</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi">10.1234/mjee.v3i4.243</ELocationID>
		<Language>EN</Language>
		<AuthorList>
            			<Author>
                				<FirstName>Mehrdad</FirstName>
				<LastName>JafarBoland</LastName>
				<Affiliation>Maleke Ashtar University</Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            			<Author>
                				<FirstName>Bijan</FirstName>
				<LastName>Sheikhan</LastName>
				<Affiliation></Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>28</Day>
			</PubDate>
		</History>
		<Abstract>Considering the wide usage of induction motors in various industries and the limitation of applying speed sensors in some cases, sensorless drives have became very important and the challenge to increase the accuracy of estimation  continues. This paper presents a novel method for sensorless speed control for IM&#039;s that not only improve the estimation and speed tracking in DTC but also eliminate the speed sensor in DTC. For this purpose all needed parameters for sensorless speed control such as stator flux, speed and load torque are estimated with the extended Kalman filter. In this method, noise due to system structure, voltage, and current sampling is eliminated in all the effective parameters. Simulation results show the increase in the precision of estimation and speed tracking.</Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">Sensorless control.</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Extended Kalman Filter</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Observer</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Induction motor</Param>
			</Object>
					</ObjectList>
	</Article>
	</ArticleSet>
