<i>μ</i>-Analysis and <i>μ</i>-Synthesis Control Methods in Smart Structure Disturbance Suppression with Reduced Order Control

In this study, we created an accurate model for a homogenous smart structure. After modeling multiplicative uncertainty, an ideal robust controller was designed using <i>μ</i>-synthesis and a reduced-order H-infinity Feedback Optimal Output (Hifoo) controller, leading to the creation of...

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Main Authors: Amalia Moutsopoulou, Markos Petousis, Georgios E. Stavroulakis, Anastasios Pouliezos, Nectarios Vidakis
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/17/2/73
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author Amalia Moutsopoulou
Markos Petousis
Georgios E. Stavroulakis
Anastasios Pouliezos
Nectarios Vidakis
author_facet Amalia Moutsopoulou
Markos Petousis
Georgios E. Stavroulakis
Anastasios Pouliezos
Nectarios Vidakis
author_sort Amalia Moutsopoulou
collection DOAJ
description In this study, we created an accurate model for a homogenous smart structure. After modeling multiplicative uncertainty, an ideal robust controller was designed using <i>μ</i>-synthesis and a reduced-order H-infinity Feedback Optimal Output (Hifoo) controller, leading to the creation of an improved uncertain plant. A powerful controller was built using a larger plant that included the nominal model and corresponding uncertainty. The designed controllers demonstrated robust and nominal performance when handling agitated plants. A comparison of the results was conducted. As an example of a general smart structure, the vibration of a collocated piezoelectric actuator and sensor was controlled using two different approaches with strong controller designs. This study presents a comprehensive simulation of the oscillation suppression problem for smart beams. They provide an analytical demonstration of how uncertainty is introduced into the model. The desired outcomes were achieved by utilizing Simulink and MATLAB (v. 8.0) programming tools.
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spelling doaj.art-afbff6fc0b0f48e7853cdc2064ad97072024-02-23T15:04:29ZengMDPI AGAlgorithms1999-48932024-02-011727310.3390/a17020073<i>μ</i>-Analysis and <i>μ</i>-Synthesis Control Methods in Smart Structure Disturbance Suppression with Reduced Order ControlAmalia Moutsopoulou0Markos Petousis1Georgios E. Stavroulakis2Anastasios Pouliezos3Nectarios Vidakis4Department of Mechanical Engineering, Hellenic Mediterranean University, 71410 Heraklion, GreeceDepartment of Mechanical Engineering, Hellenic Mediterranean University, 71410 Heraklion, GreeceDepartment of Production Engineering and Management, Technical University of Crete, 73100 Chania, GreeceDepartment of Production Engineering and Management, Technical University of Crete, 73100 Chania, GreeceDepartment of Mechanical Engineering, Hellenic Mediterranean University, 71410 Heraklion, GreeceIn this study, we created an accurate model for a homogenous smart structure. After modeling multiplicative uncertainty, an ideal robust controller was designed using <i>μ</i>-synthesis and a reduced-order H-infinity Feedback Optimal Output (Hifoo) controller, leading to the creation of an improved uncertain plant. A powerful controller was built using a larger plant that included the nominal model and corresponding uncertainty. The designed controllers demonstrated robust and nominal performance when handling agitated plants. A comparison of the results was conducted. As an example of a general smart structure, the vibration of a collocated piezoelectric actuator and sensor was controlled using two different approaches with strong controller designs. This study presents a comprehensive simulation of the oscillation suppression problem for smart beams. They provide an analytical demonstration of how uncertainty is introduced into the model. The desired outcomes were achieved by utilizing Simulink and MATLAB (v. 8.0) programming tools.https://www.mdpi.com/1999-4893/17/2/73<i>μ</i>-analysis<i>μ</i>-synthesisreduced-order controldisturbance rejectionsmart structure
spellingShingle Amalia Moutsopoulou
Markos Petousis
Georgios E. Stavroulakis
Anastasios Pouliezos
Nectarios Vidakis
<i>μ</i>-Analysis and <i>μ</i>-Synthesis Control Methods in Smart Structure Disturbance Suppression with Reduced Order Control
Algorithms
<i>μ</i>-analysis
<i>μ</i>-synthesis
reduced-order control
disturbance rejection
smart structure
title <i>μ</i>-Analysis and <i>μ</i>-Synthesis Control Methods in Smart Structure Disturbance Suppression with Reduced Order Control
title_full <i>μ</i>-Analysis and <i>μ</i>-Synthesis Control Methods in Smart Structure Disturbance Suppression with Reduced Order Control
title_fullStr <i>μ</i>-Analysis and <i>μ</i>-Synthesis Control Methods in Smart Structure Disturbance Suppression with Reduced Order Control
title_full_unstemmed <i>μ</i>-Analysis and <i>μ</i>-Synthesis Control Methods in Smart Structure Disturbance Suppression with Reduced Order Control
title_short <i>μ</i>-Analysis and <i>μ</i>-Synthesis Control Methods in Smart Structure Disturbance Suppression with Reduced Order Control
title_sort i μ i analysis and i μ i synthesis control methods in smart structure disturbance suppression with reduced order control
topic <i>μ</i>-analysis
<i>μ</i>-synthesis
reduced-order control
disturbance rejection
smart structure
url https://www.mdpi.com/1999-4893/17/2/73
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AT georgiosestavroulakis imianalysisandimisynthesiscontrolmethodsinsmartstructuredisturbancesuppressionwithreducedordercontrol
AT anastasiospouliezos imianalysisandimisynthesiscontrolmethodsinsmartstructuredisturbancesuppressionwithreducedordercontrol
AT nectariosvidakis imianalysisandimisynthesiscontrolmethodsinsmartstructuredisturbancesuppressionwithreducedordercontrol