Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation
<p dir="ltr">The development of lightweight, stronger, and more flexible structures has received the utmost interest from many researchers. For this reason, piezoelectric materials, with their inherent electromechanical coupling, have been widely incorporated in the development of su...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , |
| Published: |
2021
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1864513560256708608 |
|---|---|
| author | Asan G. A. Muthalif (16888818) |
| author2 | Khairul A. M. Nor (16888821) Azni Nabela Wahid (16888824) Abdelrahman Ali (13531354) |
| author2_role | author author author |
| author_facet | Asan G. A. Muthalif (16888818) Khairul A. M. Nor (16888821) Azni Nabela Wahid (16888824) Abdelrahman Ali (13531354) |
| author_role | author |
| dc.creator.none.fl_str_mv | Asan G. A. Muthalif (16888818) Khairul A. M. Nor (16888821) Azni Nabela Wahid (16888824) Abdelrahman Ali (13531354) |
| dc.date.none.fl_str_mv | 2021-07-13T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2021.3096972 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Optimization_of_Piezoelectric_Sensor-Actuator_for_Plate_Vibration_Control_Using_Evolutionary_Computation_Modeling_Simulation_and_Experimentation/24038985 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Materials engineering Mechanical engineering Information and computing sciences Artificial intelligence Optimization Genetic algorithms Mathematical model Vibrations Vibration control Strain Rigidity Active vibration control Ant colony optimization Generic algorithm Modeling and simulation Optimization of sensor-actuator location Piezoelectric |
| dc.title.none.fl_str_mv | Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The development of lightweight, stronger, and more flexible structures has received the utmost interest from many researchers. For this reason, piezoelectric materials, with their inherent electromechanical coupling, have been widely incorporated in the development of such structures to attenuate their vibrations. However, one of the main challenges is to find the optimal control and sensor-actuator placement. This paper presents an active vibration control for flexible structures, whereby a simply supported plate is taken as the benchmark model. A feedback controller with a collocated sensor-actuator configuration is used. Both disturbance and control signal acting on the plate is created by using piezoelectric (PZT) patches. The analytical model is derived based on the Euler-Bernoulli model. The Optimal location of the collocated sensor-actuator, as well as PID controller gains, are determined using Ant Colony Optimization (ACO) technique, then compared with the Genetic Algorithm (GA) and enumerative method (EM). Optimization in this paper is based on minimizing frequency average energy. The optimal performance value of piezoelectric patch sensor-actuator position and PID controller gains are verified experimentally. It was found that PID controller gains and collocated sensor-actuator location optimizations using ACO, GA and enumerative methods give similar results, which implies the effectiveness of ACO as an optimization technique. More than 20 % of attenuation achieved using the available hardware setup.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2021.3096972" target="_blank">https://dx.doi.org/10.1109/access.2021.3096972</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_b05ddf8d951baa7e9dcf901fcb693c65 |
| identifier_str_mv | 10.1109/access.2021.3096972 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24038985 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and ExperimentationAsan G. A. Muthalif (16888818)Khairul A. M. Nor (16888821)Azni Nabela Wahid (16888824)Abdelrahman Ali (13531354)EngineeringMaterials engineeringMechanical engineeringInformation and computing sciencesArtificial intelligenceOptimizationGenetic algorithmsMathematical modelVibrationsVibration controlStrainRigidityActive vibration controlAnt colony optimizationGeneric algorithmModeling and simulationOptimization of sensor-actuator locationPiezoelectric<p dir="ltr">The development of lightweight, stronger, and more flexible structures has received the utmost interest from many researchers. For this reason, piezoelectric materials, with their inherent electromechanical coupling, have been widely incorporated in the development of such structures to attenuate their vibrations. However, one of the main challenges is to find the optimal control and sensor-actuator placement. This paper presents an active vibration control for flexible structures, whereby a simply supported plate is taken as the benchmark model. A feedback controller with a collocated sensor-actuator configuration is used. Both disturbance and control signal acting on the plate is created by using piezoelectric (PZT) patches. The analytical model is derived based on the Euler-Bernoulli model. The Optimal location of the collocated sensor-actuator, as well as PID controller gains, are determined using Ant Colony Optimization (ACO) technique, then compared with the Genetic Algorithm (GA) and enumerative method (EM). Optimization in this paper is based on minimizing frequency average energy. The optimal performance value of piezoelectric patch sensor-actuator position and PID controller gains are verified experimentally. It was found that PID controller gains and collocated sensor-actuator location optimizations using ACO, GA and enumerative methods give similar results, which implies the effectiveness of ACO as an optimization technique. More than 20 % of attenuation achieved using the available hardware setup.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2021.3096972" target="_blank">https://dx.doi.org/10.1109/access.2021.3096972</a></p>2021-07-13T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2021.3096972https://figshare.com/articles/journal_contribution/Optimization_of_Piezoelectric_Sensor-Actuator_for_Plate_Vibration_Control_Using_Evolutionary_Computation_Modeling_Simulation_and_Experimentation/24038985CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240389852021-07-13T00:00:00Z |
| spellingShingle | Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation Asan G. A. Muthalif (16888818) Engineering Materials engineering Mechanical engineering Information and computing sciences Artificial intelligence Optimization Genetic algorithms Mathematical model Vibrations Vibration control Strain Rigidity Active vibration control Ant colony optimization Generic algorithm Modeling and simulation Optimization of sensor-actuator location Piezoelectric |
| status_str | publishedVersion |
| title | Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation |
| title_full | Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation |
| title_fullStr | Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation |
| title_full_unstemmed | Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation |
| title_short | Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation |
| title_sort | Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation |
| topic | Engineering Materials engineering Mechanical engineering Information and computing sciences Artificial intelligence Optimization Genetic algorithms Mathematical model Vibrations Vibration control Strain Rigidity Active vibration control Ant colony optimization Generic algorithm Modeling and simulation Optimization of sensor-actuator location Piezoelectric |