Desarrollo de un Modelo Matemático no Lineal Aplicando Mínimos Cuadrados en un Sistema de Nivel
To perform a system analysis it is necessary to have a mathematical model representing it, which permits simulation of the process dynamics and development of control strategies to be applied in the real system. With this aim, it is important for the model, not being unique, to be a close representa...
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Instituto Tecnológico Metropolitano
2010-06-01
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doaj-1df39d680ccb4faeb1eaa8c2024f38c62020-11-25T01:13:25ZengInstituto Tecnológico MetropolitanoTecnoLógicas0123-77992256-53372010-06-010091111197Desarrollo de un Modelo Matemático no Lineal Aplicando Mínimos Cuadrados en un Sistema de NivelPaula A. Ortiz0José L. Ramírez1Pedro L. Simanca2Ingeniera en Instrumentación y Control. Magister en Ingeniería área Automática. Docente de tiempo completo Instituto Tecnológico Metropolitano, MedellínIngeniero eléctrico: Magister en Ingeniería área Automática. Decano Facultad de Ingenierías Instituto Tecnológico Metropolitano, MedellínIngeniero Mecánico: Magister en sistemas automáticos de producción. Decano Facultad de Ciencias Instituto Tecnológico Metropolitano, MedellínTo perform a system analysis it is necessary to have a mathematical model representing it, which permits simulation of the process dynamics and development of control strategies to be applied in the real system. With this aim, it is important for the model, not being unique, to be a close representation of the process. On this work a non lineal mathematical model is obtained for the level plant at the laboratory of control and measurement of fluidics of the INSTITUTO TECNOLÓGICO METROPOLITANO. Obtaining the model consists of two parts, the first one consists in finding physical equations of the system in terms of some unknown parameters, and the second one consists in finding those parameters using least square method. A validation of the obtained model was made and it was found that the model was reliable. This system identification technique can be applied in other process with known physical equations in terms of unknown parameters.http://itmojs.itm.edu.co/index.php/tecnologicas/article/view/224Identificación de sistemassistema no linealmínimos cuadradosmodelo matemáticoproceso dinámico. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Paula A. Ortiz José L. Ramírez Pedro L. Simanca |
spellingShingle |
Paula A. Ortiz José L. Ramírez Pedro L. Simanca Desarrollo de un Modelo Matemático no Lineal Aplicando Mínimos Cuadrados en un Sistema de Nivel TecnoLógicas Identificación de sistemas sistema no lineal mínimos cuadrados modelo matemático proceso dinámico. |
author_facet |
Paula A. Ortiz José L. Ramírez Pedro L. Simanca |
author_sort |
Paula A. Ortiz |
title |
Desarrollo de un Modelo Matemático no Lineal Aplicando Mínimos Cuadrados en un Sistema de Nivel |
title_short |
Desarrollo de un Modelo Matemático no Lineal Aplicando Mínimos Cuadrados en un Sistema de Nivel |
title_full |
Desarrollo de un Modelo Matemático no Lineal Aplicando Mínimos Cuadrados en un Sistema de Nivel |
title_fullStr |
Desarrollo de un Modelo Matemático no Lineal Aplicando Mínimos Cuadrados en un Sistema de Nivel |
title_full_unstemmed |
Desarrollo de un Modelo Matemático no Lineal Aplicando Mínimos Cuadrados en un Sistema de Nivel |
title_sort |
desarrollo de un modelo matemático no lineal aplicando mínimos cuadrados en un sistema de nivel |
publisher |
Instituto Tecnológico Metropolitano |
series |
TecnoLógicas |
issn |
0123-7799 2256-5337 |
publishDate |
2010-06-01 |
description |
To perform a system analysis it is necessary to have a mathematical model representing it, which permits simulation of the process dynamics and development of control strategies to be applied in the real system. With this aim, it is important for the model, not being unique, to be a close representation of the process. On this work a non lineal mathematical model is obtained for the level plant at the laboratory of control and measurement of fluidics of the INSTITUTO TECNOLÓGICO METROPOLITANO. Obtaining the model consists of two parts, the first one consists in finding physical equations of the system in terms of some unknown parameters, and the second one consists in finding those parameters using least square method. A validation of the obtained model was made and it was found that the model was reliable. This system identification technique can be applied in other process with known physical equations in terms of unknown parameters. |
topic |
Identificación de sistemas sistema no lineal mínimos cuadrados modelo matemático proceso dinámico. |
url |
http://itmojs.itm.edu.co/index.php/tecnologicas/article/view/224 |
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