Fuzzy logic modelling for the RC series circuit with low cost hardware and software
This work presents the development of modeling for the response to a 5 Volt step of a RC series circuit. The system identification method is presented using an Arduino Nano based board as the data acquisition system. From the experimental data obtained, the input and output membership functions are...
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| Format: | Online |
| Language: | Spanish English |
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Facultad de Ciencias Exactas, Químicas y Naturales
2021
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| Online Access: | https://www.fceqyn.unam.edu.ar/recyt/index.php/recyt/article/view/681 |
| _version_ | 1824325874959253504 |
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| author | Serrano Pérez, Edgar |
| author_facet | Serrano Pérez, Edgar |
| author_sort | Serrano Pérez, Edgar |
| collection | Revista de Ciencia y Tecnologia RECyT |
| description | This work presents the development of modeling for the response to a 5 Volt step of a RC series circuit. The system identification method is presented using an Arduino Nano based board as the data acquisition system. From the experimental data obtained, the input and output membership functions are defined. The implementation was carried out through the Fuzzy Logic Toolbox in Scilab. A set of 11 rules relate inputs to outputs in a Mamdani type inference system. The work includes the combination of low-cost hardware elements with open source software for the didactic integration that allows introducing fundamental concepts of fuzzy logic in a practical physical application approach. The results of the fuzzy logic model are compared with the experimental, numerical and the classical analytical formulation for the RC series circuit. |
| format | Online |
| id | ojs-article-681 |
| institution | Facultad de Ciencias Exactas Quimicas y Naturales |
| language | Spanish English |
| publishDate | 2021 |
| publisher | Facultad de Ciencias Exactas, Químicas y Naturales |
| record_format | ojs |
| spelling | ojs-article-6812022-09-14T22:34:19Z Fuzzy logic modelling for the RC series circuit with low cost hardware and software Modelado con lógica difusa del circuito RC en serie con hardware y software de bajo costo Serrano Pérez, Edgar Fuzzy Logic; Arduino; Modelling; Low cost; Hardware Lógica difusa; Arduino; Modelado; Low cost; Hardware This work presents the development of modeling for the response to a 5 Volt step of a RC series circuit. The system identification method is presented using an Arduino Nano based board as the data acquisition system. From the experimental data obtained, the input and output membership functions are defined. The implementation was carried out through the Fuzzy Logic Toolbox in Scilab. A set of 11 rules relate inputs to outputs in a Mamdani type inference system. The work includes the combination of low-cost hardware elements with open source software for the didactic integration that allows introducing fundamental concepts of fuzzy logic in a practical physical application approach. The results of the fuzzy logic model are compared with the experimental, numerical and the classical analytical formulation for the RC series circuit. En este trabajo se presenta el desarrollo del modelado de la respuesta a un escalón de 5 Volts de un circuito RC conectado en serie. Se presenta el método de identificación del sistema utilizando una tarjeta basada en Arduino Nano como sistema de adquisición de datos. A partir de los datos experimentales obtenidos, se definieron las funciones de membresía de la entrada y salida del sistema difuso, cuya implementación se realizó a través de la caja de herramientas de lógica difusa en Scilab. Un conjunto de 11 reglas permitió relacionar las entradas con las salidas en un sistema de inferencia de tipo Mamdani. El trabajo engloba la combinación de elementos de hardware de bajo costo con programas de uso libre para la integración didáctica que permite introducir conceptos fundamentales de la lógica difusa en un enfoque de aplicación física práctica. Los resultados del modelado difuso se comparan tanto con los resultados obtenidos experimentales, como los resultados numéricos que se obtienen utilizando la formulación analítica clásica para el sistema de circuito RC conectado en serie. Facultad de Ciencias Exactas, Químicas y Naturales 2021-08-06 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/html text/html https://www.fceqyn.unam.edu.ar/recyt/index.php/recyt/article/view/681 10.36995/j.recyt.2021.35.008 Argentine Journal of Science and Technology; Vol. 35 No. 1 (2021); 61-65 Revista de Ciencia y Tecnología; Vol. 35 Núm. 1 (2021); 61-65 1851-7587 0329-8922 spa eng https://www.fceqyn.unam.edu.ar/recyt/index.php/recyt/article/view/681/672 https://www.fceqyn.unam.edu.ar/recyt/index.php/recyt/article/view/681/732 https://www.fceqyn.unam.edu.ar/recyt/index.php/recyt/article/view/681/671 Derechos de autor 2021 Edgar Serrano Pérez https://creativecommons.org/licenses/by-nc/2.5/ar/ |
| spellingShingle | Fuzzy Logic; Arduino; Modelling; Low cost; Hardware Lógica difusa; Arduino; Modelado; Low cost; Hardware Serrano Pérez, Edgar Fuzzy logic modelling for the RC series circuit with low cost hardware and software |
| title | Fuzzy logic modelling for the RC series circuit with low cost hardware and software |
| title_alt | Modelado con lógica difusa del circuito RC en serie con hardware y software de bajo costo |
| title_full | Fuzzy logic modelling for the RC series circuit with low cost hardware and software |
| title_fullStr | Fuzzy logic modelling for the RC series circuit with low cost hardware and software |
| title_full_unstemmed | Fuzzy logic modelling for the RC series circuit with low cost hardware and software |
| title_short | Fuzzy logic modelling for the RC series circuit with low cost hardware and software |
| title_sort | fuzzy logic modelling for the rc series circuit with low cost hardware and software |
| topic | Fuzzy Logic; Arduino; Modelling; Low cost; Hardware Lógica difusa; Arduino; Modelado; Low cost; Hardware |
| topic_facet | Fuzzy Logic; Arduino; Modelling; Low cost; Hardware Lógica difusa; Arduino; Modelado; Low cost; Hardware |
| url | https://www.fceqyn.unam.edu.ar/recyt/index.php/recyt/article/view/681 |
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