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 |
| Summary: | 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. |
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