Fuzzy Controller Applied to a Remote Energy Harvesting Emulation Platform
In the last decades, a lot of effort has been made in order to improve the use of environmentally friendly and renewable energy sources. In a context of small energy usage, energy harvesting takes place and thermal energy sources are one of its main energy sources because there are several unused he...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/20/5874 |
| _version_ | 1797550665081290752 |
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| author | Marcelo Miranda Camboim Juan Moises Maurício Villanueva Cleonilson Protasio de Souza |
| author_facet | Marcelo Miranda Camboim Juan Moises Maurício Villanueva Cleonilson Protasio de Souza |
| author_sort | Marcelo Miranda Camboim |
| collection | DOAJ |
| description | In the last decades, a lot of effort has been made in order to improve the use of environmentally friendly and renewable energy sources. In a context of small energy usage, energy harvesting takes place and thermal energy sources are one of its main energy sources because there are several unused heat sources available in the environment that may be used as renewable energy sources. To rapidly evaluate the energy potential of such thermal sources is a hard task, therefore, a way to perform this is welcome. In this work, a thermal pattern emulation system to evaluate potential thermal source in a easy way is proposed. The main characteristics of the proposed system is that it is online and remote, that is, while the thermal-source-under-test is being measured, the system is emulating it and evaluating the generated energy remotely. The main contribution of this work was to replace the conventional Proportional Integral Derivative (PID) controller to a Fuzzy-Proportional Integral (PI) controller. In order to compare both controllers, three tests were carried out, namely: (a) step response, (b) perturbation test, (c) thermal emulation of the thermal pattern obtained from a potential thermal source: tree trucks. Experimental results show that the Fuzzy-PI controller was faster than the PID, achieving a setting time 41.26% faster, and also was more efficient with a maximum error 53% smaller than the PID. |
| first_indexed | 2024-03-10T15:32:35Z |
| format | Article |
| id | doaj.art-89e56abe0d344367af2cef30853eb966 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T15:32:35Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-89e56abe0d344367af2cef30853eb9662023-11-20T17:29:04ZengMDPI AGSensors1424-82202020-10-012020587410.3390/s20205874Fuzzy Controller Applied to a Remote Energy Harvesting Emulation PlatformMarcelo Miranda Camboim0Juan Moises Maurício Villanueva1Cleonilson Protasio de Souza2Renewable and Alternatives Energies Center (CEAR)/Electrical Engineering Department (DEE)/Campus I, Federal University of Paraiba (UFPB), Joao Pessoa 5045, BrazilRenewable and Alternatives Energies Center (CEAR)/Electrical Engineering Department (DEE)/Campus I, Federal University of Paraiba (UFPB), Joao Pessoa 5045, BrazilRenewable and Alternatives Energies Center (CEAR)/Electrical Engineering Department (DEE)/Campus I, Federal University of Paraiba (UFPB), Joao Pessoa 5045, BrazilIn the last decades, a lot of effort has been made in order to improve the use of environmentally friendly and renewable energy sources. In a context of small energy usage, energy harvesting takes place and thermal energy sources are one of its main energy sources because there are several unused heat sources available in the environment that may be used as renewable energy sources. To rapidly evaluate the energy potential of such thermal sources is a hard task, therefore, a way to perform this is welcome. In this work, a thermal pattern emulation system to evaluate potential thermal source in a easy way is proposed. The main characteristics of the proposed system is that it is online and remote, that is, while the thermal-source-under-test is being measured, the system is emulating it and evaluating the generated energy remotely. The main contribution of this work was to replace the conventional Proportional Integral Derivative (PID) controller to a Fuzzy-Proportional Integral (PI) controller. In order to compare both controllers, three tests were carried out, namely: (a) step response, (b) perturbation test, (c) thermal emulation of the thermal pattern obtained from a potential thermal source: tree trucks. Experimental results show that the Fuzzy-PI controller was faster than the PID, achieving a setting time 41.26% faster, and also was more efficient with a maximum error 53% smaller than the PID.https://www.mdpi.com/1424-8220/20/20/5874fuzzy controllerenergy harvestingthermal emulation |
| spellingShingle | Marcelo Miranda Camboim Juan Moises Maurício Villanueva Cleonilson Protasio de Souza Fuzzy Controller Applied to a Remote Energy Harvesting Emulation Platform Sensors fuzzy controller energy harvesting thermal emulation |
| title | Fuzzy Controller Applied to a Remote Energy Harvesting Emulation Platform |
| title_full | Fuzzy Controller Applied to a Remote Energy Harvesting Emulation Platform |
| title_fullStr | Fuzzy Controller Applied to a Remote Energy Harvesting Emulation Platform |
| title_full_unstemmed | Fuzzy Controller Applied to a Remote Energy Harvesting Emulation Platform |
| title_short | Fuzzy Controller Applied to a Remote Energy Harvesting Emulation Platform |
| title_sort | fuzzy controller applied to a remote energy harvesting emulation platform |
| topic | fuzzy controller energy harvesting thermal emulation |
| url | https://www.mdpi.com/1424-8220/20/20/5874 |
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