PID Based on a Single Artificial Neural Network Algorithm for Intelligent Sensors
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional Autónoma de México
2012
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| _version_ | 1876439996926263296 |
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| author | J. Rivera-Mejía |
| author_facet | J. Rivera-Mejía |
| contents | PID Based on a Single Artificial Neural Network Algorithm for Intelligent Sensors J. Rivera-Mejía A.G. Léon-Rubio E. Arzabala-Contreras Ingeniería Control intelligent sensors intelligent control artificial neural network Today control is required in any field or application. Nowadays, classic control is the most used, but itis well-knownthat users need to know the system¿s characteristics to reach optimal control. This paper is focused on designing a proportional integral derivative control, based on a single artificial neural network with the aim to improve its performance and its use with minimal control knowledge from the end user. The proposed control was assessed withsimulated and practical physical systems of first and second order. In order to increase the confidence of the intelligent sensor control, the evaluation was made using the classical test of control response of a step as input. The proposed control was implemented on an intelligent sensor with a small microcontroller. Also, the performance was compared between the proposed control and a commercial control. Here, an intelligent sensor is presented with control capability for a wide variety of physical systems. The experiments performed demonstrated the capability of the proposed control, which can be easily used and save time at the initial control set up. 2012 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47423215015 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.2 Vol.10 |
| format | Artículo científico |
| id | redalyc_47423215015 |
| institution | Redalyc |
| language | en |
| publishDate | 2012 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | PID Based on a Single Artificial Neural Network Algorithm for Intelligent Sensors J. Rivera-Mejía Ingeniería Control intelligent sensors intelligent control artificial neural network PID Based on a Single Artificial Neural Network Algorithm for Intelligent Sensors J. Rivera-Mejía A.G. Léon-Rubio E. Arzabala-Contreras Ingeniería Control intelligent sensors intelligent control artificial neural network Today control is required in any field or application. Nowadays, classic control is the most used, but itis well-knownthat users need to know the system¿s characteristics to reach optimal control. This paper is focused on designing a proportional integral derivative control, based on a single artificial neural network with the aim to improve its performance and its use with minimal control knowledge from the end user. The proposed control was assessed withsimulated and practical physical systems of first and second order. In order to increase the confidence of the intelligent sensor control, the evaluation was made using the classical test of control response of a step as input. The proposed control was implemented on an intelligent sensor with a small microcontroller. Also, the performance was compared between the proposed control and a commercial control. Here, an intelligent sensor is presented with control capability for a wide variety of physical systems. The experiments performed demonstrated the capability of the proposed control, which can be easily used and save time at the initial control set up. 2012 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47423215015 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.2 Vol.10 |
| title | PID Based on a Single Artificial Neural Network Algorithm for Intelligent Sensors |
| topic | Ingeniería Control intelligent sensors intelligent control artificial neural network |
| url | https://www.redalyc.org/articulo.oa?id=47423215015 |