Numerical Simulations and Control of Offshore Energy Harvesting Using Piezoelectric Materials in a Portal Frame Structure

Buoy systems are an alternative for micropowering small devices in remote locations. Portal frames are very useful to harvest the energy of the waves into usable energy. Thus, using the current models for a portal frame in the literature and the spectrum of available energy in sea waves, a nonlinear...

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Main Authors: Wagner B. Lenz, Mauricio A. Ribeiro, Rodrigo T. Rocha, Jose M. Balthazar, Angelo M. Tusset
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2021/6651999
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spelling doaj-f85fe93a2a6b4fe09cd122980293b2ff2021-06-14T00:17:43ZengHindawi LimitedShock and Vibration1875-92032021-01-01202110.1155/2021/6651999Numerical Simulations and Control of Offshore Energy Harvesting Using Piezoelectric Materials in a Portal Frame StructureWagner B. Lenz0Mauricio A. Ribeiro1Rodrigo T. Rocha2Jose M. Balthazar3Angelo M. Tusset4Department of Electrical EngineeringDepartment of Electrical EngineeringDepartment of Electrical EngineeringDepartment of Electrical EngineeringDepartment of Electrical EngineeringBuoy systems are an alternative for micropowering small devices in remote locations. Portal frames are very useful to harvest the energy of the waves into usable energy. Thus, using the current models for a portal frame in the literature and the spectrum of available energy in sea waves, a nonlinear mathematical model accounting for the coupling of a nonlinear piezoelectric material is considered. The neighbour of selected variables is analyzed and then optimized by a process utilizing the particle swarm optimization (PSO) algorithm. Furthermore, an optimal control using the linear-quadratic regulator (LQR) controller is applied to control the load resistance of the piezoelectric circuit. The optimization process and the LQR show to be effective. The results show a general gain due to optimization and a relatively small gain using the controller.http://dx.doi.org/10.1155/2021/6651999
collection DOAJ
language English
format Article
sources DOAJ
author Wagner B. Lenz
Mauricio A. Ribeiro
Rodrigo T. Rocha
Jose M. Balthazar
Angelo M. Tusset
spellingShingle Wagner B. Lenz
Mauricio A. Ribeiro
Rodrigo T. Rocha
Jose M. Balthazar
Angelo M. Tusset
Numerical Simulations and Control of Offshore Energy Harvesting Using Piezoelectric Materials in a Portal Frame Structure
Shock and Vibration
author_facet Wagner B. Lenz
Mauricio A. Ribeiro
Rodrigo T. Rocha
Jose M. Balthazar
Angelo M. Tusset
author_sort Wagner B. Lenz
title Numerical Simulations and Control of Offshore Energy Harvesting Using Piezoelectric Materials in a Portal Frame Structure
title_short Numerical Simulations and Control of Offshore Energy Harvesting Using Piezoelectric Materials in a Portal Frame Structure
title_full Numerical Simulations and Control of Offshore Energy Harvesting Using Piezoelectric Materials in a Portal Frame Structure
title_fullStr Numerical Simulations and Control of Offshore Energy Harvesting Using Piezoelectric Materials in a Portal Frame Structure
title_full_unstemmed Numerical Simulations and Control of Offshore Energy Harvesting Using Piezoelectric Materials in a Portal Frame Structure
title_sort numerical simulations and control of offshore energy harvesting using piezoelectric materials in a portal frame structure
publisher Hindawi Limited
series Shock and Vibration
issn 1875-9203
publishDate 2021-01-01
description Buoy systems are an alternative for micropowering small devices in remote locations. Portal frames are very useful to harvest the energy of the waves into usable energy. Thus, using the current models for a portal frame in the literature and the spectrum of available energy in sea waves, a nonlinear mathematical model accounting for the coupling of a nonlinear piezoelectric material is considered. The neighbour of selected variables is analyzed and then optimized by a process utilizing the particle swarm optimization (PSO) algorithm. Furthermore, an optimal control using the linear-quadratic regulator (LQR) controller is applied to control the load resistance of the piezoelectric circuit. The optimization process and the LQR show to be effective. The results show a general gain due to optimization and a relatively small gain using the controller.
url http://dx.doi.org/10.1155/2021/6651999
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