Stabilization Using a Discrete Fuzzy PDC Control with PID Controllers and Pole Placement: Application to an Experimental Greenhouse
This paper proposes a control strategy for complex and nonlinear systems, based on a parallel distributed compensation (PDC) controller. A solution is presented to solve a stability problem that arises when dealing with a Takagi-Sugeno discrete system with great numbers of rules. The PDC controller...
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doaj-262c47d712d84c33a48783d7db52dc8e2020-11-25T02:24:30ZengHindawi LimitedJournal of Control Science and Engineering1687-52491687-52572011-01-01201110.1155/2011/537491537491Stabilization Using a Discrete Fuzzy PDC Control with PID Controllers and Pole Placement: Application to an Experimental GreenhouseAmine Chouchaine0Elyes Feki1Abdelkader Mami2Unité de Recherche d'Analyse et Commande des Systèmes, Ecole Nationale d'Ingénieurs de Tunis, Campus Universitaire, Belvédère, BP 37, Tunis 1002, TunisiaUnité de Recherche d'Analyse et Commande des Systèmes, Ecole Nationale d'Ingénieurs de Tunis, Campus Universitaire, Belvédère, BP 37, Tunis 1002, TunisiaUnité de Recherche d'Analyse et Commande des Systèmes, Ecole Nationale d'Ingénieurs de Tunis, Campus Universitaire, Belvédère, BP 37, Tunis 1002, TunisiaThis paper proposes a control strategy for complex and nonlinear systems, based on a parallel distributed compensation (PDC) controller. A solution is presented to solve a stability problem that arises when dealing with a Takagi-Sugeno discrete system with great numbers of rules. The PDC controller will use a classical controller like a PI, PID, or RST in each rule with a pole placement strategy to avoid causing instability. The fuzzy controller presented combines the multicontrol approach and the performance of the classical controllers to obtain a robust nonlinear control action that can also deal with time-variant systems. The presented method was applied to a small greenhouse to control its inside temperature by variation in ventilation rate inside the process. The results obtained will show the efficiency of the adopted method to control the nonlinear and complex systems.http://dx.doi.org/10.1155/2011/537491 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Amine Chouchaine Elyes Feki Abdelkader Mami |
spellingShingle |
Amine Chouchaine Elyes Feki Abdelkader Mami Stabilization Using a Discrete Fuzzy PDC Control with PID Controllers and Pole Placement: Application to an Experimental Greenhouse Journal of Control Science and Engineering |
author_facet |
Amine Chouchaine Elyes Feki Abdelkader Mami |
author_sort |
Amine Chouchaine |
title |
Stabilization Using a Discrete Fuzzy PDC Control with PID Controllers and Pole Placement: Application to an Experimental Greenhouse |
title_short |
Stabilization Using a Discrete Fuzzy PDC Control with PID Controllers and Pole Placement: Application to an Experimental Greenhouse |
title_full |
Stabilization Using a Discrete Fuzzy PDC Control with PID Controllers and Pole Placement: Application to an Experimental Greenhouse |
title_fullStr |
Stabilization Using a Discrete Fuzzy PDC Control with PID Controllers and Pole Placement: Application to an Experimental Greenhouse |
title_full_unstemmed |
Stabilization Using a Discrete Fuzzy PDC Control with PID Controllers and Pole Placement: Application to an Experimental Greenhouse |
title_sort |
stabilization using a discrete fuzzy pdc control with pid controllers and pole placement: application to an experimental greenhouse |
publisher |
Hindawi Limited |
series |
Journal of Control Science and Engineering |
issn |
1687-5249 1687-5257 |
publishDate |
2011-01-01 |
description |
This paper proposes a control strategy for complex and nonlinear systems, based on a parallel distributed compensation (PDC) controller. A solution is presented to solve a stability problem that arises when dealing with a Takagi-Sugeno discrete system with great numbers of rules. The PDC controller will use a classical controller like a PI, PID, or RST in each rule with a pole placement strategy to avoid causing instability. The fuzzy controller presented combines the multicontrol approach and the performance of the classical controllers to obtain a robust nonlinear control action that can also deal with time-variant systems. The presented method was applied to a small greenhouse to control its inside temperature by variation in ventilation rate inside the process. The results obtained will show the efficiency of the adopted method to control the nonlinear and complex systems. |
url |
http://dx.doi.org/10.1155/2011/537491 |
work_keys_str_mv |
AT aminechouchaine stabilizationusingadiscretefuzzypdccontrolwithpidcontrollersandpoleplacementapplicationtoanexperimentalgreenhouse AT elyesfeki stabilizationusingadiscretefuzzypdccontrolwithpidcontrollersandpoleplacementapplicationtoanexperimentalgreenhouse AT abdelkadermami stabilizationusingadiscretefuzzypdccontrolwithpidcontrollersandpoleplacementapplicationtoanexperimentalgreenhouse |
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1724855483689336832 |