<?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>1665-2738</journal-id>
<journal-title><![CDATA[Revista mexicana de ingeniería química]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Mex. Ing. Quím]]></abbrev-journal-title>
<issn>1665-2738</issn>
<publisher>
<publisher-name><![CDATA[Universidad Autónoma Metropolitana, División de Ciencias Básicas e Ingeniería]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1665-27382016000100259</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Diseño de un  GPC multivariable basado en una PC industrial para el control de una unidad de ósmosis inversa de una industria farmacéutica]]></article-title>
<article-title xml:lang="en"><![CDATA[Design of a multivariable  GPC based on an industrial PC for control of a reverse osmosis unit of a pharmaceutical industry]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rivas-Perez]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sotomayor-Moriano]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Perez-Zuñiga]]></surname>
<given-names><![CDATA[C.G.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Calderon-Mendoza]]></surname>
<given-names><![CDATA[E.M.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Polite&#769;cnica de la Habana  ]]></institution>
<addr-line><![CDATA[La Habana ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Pontificia Universidad Católica del Perú Departamento de Ingeniería ]]></institution>
<addr-line><![CDATA[San Miguel Lima]]></addr-line>
<country>Peru</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2016</year>
</pub-date>
<volume>15</volume>
<numero>1</numero>
<fpage>259</fpage>
<lpage>273</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1665-27382016000100259&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1665-27382016000100259&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1665-27382016000100259&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen En el presente trabajo se desarrolla el diseño de un controlador predictivo generalizado (GPC) multivariable para el control efectivo de una unidad de ósmosis inversa (OI) de una planta purificadora de agua potable de una industria farmacéutica. Utilizando los métodos de subespacios para la identificación de sistemas dinámicos se obtiene un modelo matemático multivariable de la planta objeto de estudio, cuyos resultados de validación exhiben un elevado grado de adecuación. El diseño del controlador GPC multivariable se realiza en base al modelo matemático obtenido. Se demuestra que el controlador diseñado posibilita controlar con elevada efectividad la unidad de OI objeto de estudio considerando diferentes escenarios reales de operación industrial. Los resultados comparativos de simulación del sistema de control con controladores PI (desacoplados), DMC y GPC multivariables muestran un mejor desempeño cuando se aplica el controlador GPC.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract In this paper a multivariable gerenalized predictive controller (GPC) for the effective control of a reverse osmosis (RO) unit of a water purification plant of a pharmaceutical industry is designed. By using subspaces methods for identification of dynamic systems a multivariable mathematical model of the plant under study is obtained, whose validation results showed a high adequacy degree. The design of the multivariable GPC controller is performed based on the mathematical model obtained. It is shown that the designed controller allows controlling the RO unit under study with a high accuracy considering different real industrial operation scenarios. The comparative simulation results of the control system with PI (decoupled), DMC and GPC multivariable controllers showed a better performance when the GPC controller is applied.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[controlador predictivo generalizado multivariable]]></kwd>
<kwd lng="es"><![CDATA[identificación de sistemas]]></kwd>
<kwd lng="es"><![CDATA[unidad de ósmosis inversa]]></kwd>
<kwd lng="es"><![CDATA[planta purificadora de agua]]></kwd>
<kwd lng="es"><![CDATA[industria farmacéutica]]></kwd>
<kwd lng="en"><![CDATA[multivariable generalized predictive controller]]></kwd>
<kwd lng="en"><![CDATA[system identification]]></kwd>
<kwd lng="en"><![CDATA[reverse osmosis unit]]></kwd>
<kwd lng="en"><![CDATA[water purification plant]]></kwd>
<kwd lng="en"><![CDATA[pharmaceutical industry]]></kwd>
</kwd-group>
</article-meta>
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