{"id":86551,"date":"2018-03-10T00:11:12","date_gmt":"2018-03-10T00:11:12","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/aplicacion-de-las-redes-neuronales-en-los-sistemas-de-control-vectorial-de-los-motores-de-induccion\/"},"modified":"2018-03-10T00:11:12","modified_gmt":"2018-03-10T00:11:12","slug":"aplicacion-de-las-redes-neuronales-en-los-sistemas-de-control-vectorial-de-los-motores-de-induccion","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/aplicacion-de-las-redes-neuronales-en-los-sistemas-de-control-vectorial-de-los-motores-de-induccion\/","title":{"rendered":"Aplicaci\u00f3n de las redes neuronales en los sistemas de control vectorial de los motores de induccion."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Mahmoud Ali Sowilam Gamal <\/strong><\/h2>\n<p>Se presenta la aplicaci\u00f3n de redes neuronales artificiales en los sistemas de control vectorial y control directo del par para una m\u00e1quina de inducci\u00f3n.  los datos necesarios para entrenar las redes neuronales artificiales se obtienen, en primer lugar, de los resultados de las simulaciones del sistema formado por el motor y su control, y en segundo lugar, a partir de los resultados experimentales. A tal fin se implementa un modelo del motor de inducci\u00f3n que se prueba con motores de diferentes valores nominales y se controla con diferentes sistema de control: control vectorial por el m\u00e9todo indirecto con y sin realimentaci\u00f3n de velocidad, control vectorial por el m\u00e9todo directo con realimentaci\u00f3n de velocidad y control directo del par.  para el caso de los sistemas del control vectorial por los m\u00e9todos directos e indirecto, se han utilizado redes neuronales artificiales de respuesta a impulso finito(firann). Para el sistema de control directo del par se han utilizado redes neuronales artificiales de propagaci\u00f3n hacia delante (mfann) que emulan la tabla de conmutaci\u00f3n del ondulador, la transforaci\u00f3n de las tensiones en el sistema de referencia \u00ababc\u00bb al sistema de referencia fijado al estator \u00abdq\u00bb, la transformaci\u00f3n de las corrientes de estator en el sistema de referencia \u00ababc\u00bb al sistema de referencia fijado al estator \u00abdq\u00bb y por \u00faltimo, un estimador de par. Todas las redes neuronales se probaron en l\u00ednea tanto de forma independiente como conjuntamente. Su comportamiento ha sido bueno en comparaci\u00f3n con el sistema sin redes neuronales.  finalmente, se realiz\u00f3 la implementaci\u00f3n  fisica del equipo para el control en tiempo real de un motor de inducci\u00f3n por el m\u00e9todo directo cl\u00e1sico, y usando redes neuronales mediante una tarjeta dspace \u00abds1103\u00bb. Este montaje ha permitido hacer las medidas necesarias para poder comparar el comportamiento del sistema bajo las alternativas propuestas.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Aplicaci\u00f3n de las redes neuronales en los sistemas de control vectorial de los motores de induccion.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Aplicaci\u00f3n de las redes neuronales en los sistemas de control vectorial de los motores de induccion. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Mahmoud Ali Sowilam Gamal <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de catalunya<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 25\/09\/2000<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Angel Luis Orille Fernandez<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Luis Humet coderch <\/li>\n<li>Mar\u00eda no Sanz badia (vocal)<\/li>\n<li>Francisco Arcega solsona (vocal)<\/li>\n<li>enric Monte moreno (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Mahmoud Ali Sowilam Gamal Se presenta la aplicaci\u00f3n de redes neuronales artificiales en los sistemas de control [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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