<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1665-6423</journal-id>
<journal-title><![CDATA[Journal of applied research and technology]]></journal-title>
<abbrev-journal-title><![CDATA[J. appl. res. technol]]></abbrev-journal-title>
<issn>1665-6423</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y Tecnología]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1665-64232017000200173</article-id>
<article-id pub-id-type="doi">10.1016/j.jart.2017.01.011</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Particle swarm optimization (PSO)-based tuning technique for PI controller for management of a distributed static synchronous compensator (DSTATCOM) for improved dynamic response and power quality]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Eswaran]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Kumar]]></surname>
<given-names><![CDATA[V. Suresh]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Thiagarajar College Engineering Department of Electrical and Electronics Engineering ]]></institution>
<addr-line><![CDATA[Madurai Tamil Nadu]]></addr-line>
<country>India</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2017</year>
</pub-date>
<volume>15</volume>
<numero>2</numero>
<fpage>173</fpage>
<lpage>189</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1665-64232017000200173&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1665-64232017000200173&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1665-64232017000200173&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The distributed static synchronous compensator (DSTATCOM) has emerged as an indispensable compensator element in the management of reactive power demand in distributed power management systems as well as grid connected systems. The DSTATCOM maintains the voltage at the point of common coupling (PCC) and at the DC link voltage across the DC link capacitor. For these two purposes, there are two independent controllers and these controllers are predominantly of PI types. Tuning the PI controller is a challenging exercise. In this paper, a novel method for tuning the PI controllers using particle swarm optimization is presented. By MATLAB SIMULINK simulation it is shown that the particle swarm optimization-tuned PI controller performs better than the traditional Ziegler-Nichols technique-tuned PI controller. In order to validate the proposed idea, an experimental setup has also been constructed with a PIC16F877A micro controller as the central control element and as a scale down physical model of the DSTATCOM.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[DSTATCOM]]></kwd>
<kwd lng="en"><![CDATA[PI controller]]></kwd>
<kwd lng="en"><![CDATA[Tuning techniques of the PI controller]]></kwd>
<kwd lng="en"><![CDATA[Ziegler-Nichols tuning method]]></kwd>
<kwd lng="en"><![CDATA[Use of particle swarm optimization in tuning the PI controller]]></kwd>
</kwd-group>
</article-meta>
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