<b>High performance controller for drying processes</b> - doi: 10.4025/actascitechnol.v35i2.14775
<p class="aresumo">This paper proposes a high performance nonlinear fuzzy multi-input-multi-output controller for a drying control process. The highly nonlinear characteristics of drying processes make classical control theory unable to provide the same performance results as it does...
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Universidade Estadual de Maringá
2013-04-01
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doaj-aa10acb0e41343e292c1a0b528ca49ce2020-11-25T00:49:03ZengUniversidade Estadual de MaringáActa Scientiarum: Technology1806-25631807-86642013-04-0135227928910.4025/actascitechnol.v35i2.147759178<b>High performance controller for drying processes</b> - doi: 10.4025/actascitechnol.v35i2.14775Camila Nicola Boeri0Fernando Neto da Silva1Jorge Ferreira2Universidade de AveiroUniversidade de AveiroUniversidade de Aveiro<p class="aresumo">This paper proposes a high performance nonlinear fuzzy multi-input-multi-output controller for a drying control process. The highly nonlinear characteristics of drying processes make classical control theory unable to provide the same performance results as it does in more well behaved systems. Advanced control strategies may be used to design temperature, relative humidity and air velocity nonlinear tracking controllers to overcome its highly non-linear dynamics over the whole drying operating conditions. Open-loop experiments were carried out to collect experienced-based knowledge of the process. PID and Fuzzy logic (FLC) real-time-based controllers were designed to perform food drying tests and compared without controllers’ retuning. Absolute errors reached by FLC-based controller were 3.71 and 3.93 times lower than PID for temperature and relative humidity, respectively.</p> <p class="akeyword"> </p>http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/14775dryingFuzzy logic controllerPID controllerrelative humiditytemperatureair velocity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Camila Nicola Boeri Fernando Neto da Silva Jorge Ferreira |
spellingShingle |
Camila Nicola Boeri Fernando Neto da Silva Jorge Ferreira <b>High performance controller for drying processes</b> - doi: 10.4025/actascitechnol.v35i2.14775 Acta Scientiarum: Technology drying Fuzzy logic controller PID controller relative humidity temperature air velocity |
author_facet |
Camila Nicola Boeri Fernando Neto da Silva Jorge Ferreira |
author_sort |
Camila Nicola Boeri |
title |
<b>High performance controller for drying processes</b> - doi: 10.4025/actascitechnol.v35i2.14775 |
title_short |
<b>High performance controller for drying processes</b> - doi: 10.4025/actascitechnol.v35i2.14775 |
title_full |
<b>High performance controller for drying processes</b> - doi: 10.4025/actascitechnol.v35i2.14775 |
title_fullStr |
<b>High performance controller for drying processes</b> - doi: 10.4025/actascitechnol.v35i2.14775 |
title_full_unstemmed |
<b>High performance controller for drying processes</b> - doi: 10.4025/actascitechnol.v35i2.14775 |
title_sort |
<b>high performance controller for drying processes</b> - doi: 10.4025/actascitechnol.v35i2.14775 |
publisher |
Universidade Estadual de Maringá |
series |
Acta Scientiarum: Technology |
issn |
1806-2563 1807-8664 |
publishDate |
2013-04-01 |
description |
<p class="aresumo">This paper proposes a high performance nonlinear fuzzy multi-input-multi-output controller for a drying control process. The highly nonlinear characteristics of drying processes make classical control theory unable to provide the same performance results as it does in more well behaved systems. Advanced control strategies may be used to design temperature, relative humidity and air velocity nonlinear tracking controllers to overcome its highly non-linear dynamics over the whole drying operating conditions. Open-loop experiments were carried out to collect experienced-based knowledge of the process. PID and Fuzzy logic (FLC) real-time-based controllers were designed to perform food drying tests and compared without controllers’ retuning. Absolute errors reached by FLC-based controller were 3.71 and 3.93 times lower than PID for temperature and relative humidity, respectively.</p> <p class="akeyword"> </p> |
topic |
drying Fuzzy logic controller PID controller relative humidity temperature air velocity |
url |
http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/14775 |
work_keys_str_mv |
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