<?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>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462016000100041</article-id>
<article-id pub-id-type="doi">10.13053/cys-20-1-2361</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Diseño de un controlador de velocidad adaptativo para un MSIP utilizando inteligencia artificial]]></article-title>
<article-title xml:lang="en"><![CDATA[Design of a Speed Adaptive Controller for a PMSM using Artificial Intelligence]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aguilar-Mejía]]></surname>
<given-names><![CDATA[Omar]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Tapia-Olvera]]></surname>
<given-names><![CDATA[Rubén]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rivas-Cambero]]></surname>
<given-names><![CDATA[Iván]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Minor-Popocatl]]></surname>
<given-names><![CDATA[Hertwin]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Politécnica de Tulancingo  ]]></institution>
<addr-line><![CDATA[Tulancingo Hidalgo]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2016</year>
</pub-date>
<volume>20</volume>
<numero>1</numero>
<fpage>41</fpage>
<lpage>54</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462016000100041&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462016000100041&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462016000100041&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen. Los motores síncronos de imanes permanentes se han utilizado ampliamente en aplicaciones de velocidad variable de alta precisión, sin embargo, el esquema de control debe cumplir con altas exigencias de desempeno dinâmico. En este trabajo se realiza un análisis comparativo de la respuesta de un motor síncrono con cuatro estrategias de control: convencional proporcional integral, modos deslizantes, lógica difusa y redes neuronales. Se describe el modelo del motor, el regulador de corriente y se realiza el diseño del control. Además, se utiliza un observador no lineal para la estimación de la velocidad del rotor y el par de carga. El desempeno de cada controlador se analiza mediante simulaciones en el tiempo donde el motor se somete a diversas perturbaciones y cambios de referencia. La técnica de control propuesta mediante redes neuronales exhibe el mejor desempeno debido a que puede adaptarse a cada condición, demandando bajo costo computacional para una operación en línea y considerando las no linealidades del sistema.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract. Permanent magnet synchronous motors have been widely used in variable speed drives; however, the control scheme must ensure high requirements of dynamic performance. In this work, a comparative analysis of a synchronous motor response with four control strategies-conventional proportional integral, sliding mode, fuzzy logic, and neural networks-is exposed. The motor model and the current controller are described; this allows the control laws design. In addition, a nonlinear observer for estimating the rotor speed and load torque is designed. The performance of each driver is analyzed using time simulations where the motor is subjected to disturbances and reference changes. The proposed control technique using neural networks exhibits the best performance because it can adapt to every condition, demanding low computational effort for an online operation and considering the system nonlinearities.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[MSIP]]></kwd>
<kwd lng="es"><![CDATA[lógica difusa]]></kwd>
<kwd lng="es"><![CDATA[modos deslizantes]]></kwd>
<kwd lng="es"><![CDATA[redes neuronales]]></kwd>
<kwd lng="en"><![CDATA[PMSM]]></kwd>
<kwd lng="en"><![CDATA[fuzzy logic]]></kwd>
<kwd lng="en"><![CDATA[sliding mode]]></kwd>
<kwd lng="en"><![CDATA[neural network]]></kwd>
</kwd-group>
</article-meta>
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