<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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Main Authors: Camila Nicola Boeri, Fernando Neto da Silva, Jorge Ferreira
Format: Article
Language:English
Published: Universidade Estadual de Maringá 2013-04-01
Series:Acta Scientiarum: Technology
Subjects:
Online Access:http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/14775
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spelling 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
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