Hardware-in-the-Loop Validation of Model Predictive Control of a Discrete Fluid Power Power Take-Off System for Wave Energy Converters
Model predictive control based wave power extraction algorithms have been developed and found promising for wave energy converters. Although mostly proven by simulation studies, model predictive control based algorithms have shown to outperform classical wave power extraction algorithms such as line...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/19/3668 |
| _version_ | 1797999052471664640 |
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| author | Anders H. Hansen Magnus F. Asmussen Michael M. Bech |
| author_facet | Anders H. Hansen Magnus F. Asmussen Michael M. Bech |
| author_sort | Anders H. Hansen |
| collection | DOAJ |
| description | Model predictive control based wave power extraction algorithms have been developed and found promising for wave energy converters. Although mostly proven by simulation studies, model predictive control based algorithms have shown to outperform classical wave power extraction algorithms such as linear damping and reactive control. Prediction models and objective functions have, however, often been simplified a lot by for example, excluding power take-off system losses. Furthermore, discrete fluid power forces systems has never been validated experimentally in published research. In this paper a model predictive control based wave power extraction algorithm is designed for a discrete fluid power power take-off system. The loss models included in the objective function are based on physical models of the losses associated with discrete force shifts and throttling. The developed wave power extraction algorithm directly includes the quantized force output and the losses models of the discrete fluid power system. The experimental validation of the wave power extraction algorithm developed in the paper shown an increase of 14.6% in yearly harvested energy when compared to a reactive control algorithm. |
| first_indexed | 2024-04-11T10:58:31Z |
| format | Article |
| id | doaj.art-3b6270dbebc74912a6b0c04fd60d8dfa |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T10:58:31Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-3b6270dbebc74912a6b0c04fd60d8dfa2022-12-22T04:28:41ZengMDPI AGEnergies1996-10732019-09-011219366810.3390/en12193668en12193668Hardware-in-the-Loop Validation of Model Predictive Control of a Discrete Fluid Power Power Take-Off System for Wave Energy ConvertersAnders H. Hansen0Magnus F. Asmussen1Michael M. Bech2Department of Energy Technology, Aalborg University, Pontoppidanstraede 111, 9220 Aalborg East, DenmarkDepartment of Energy Technology, Aalborg University, Pontoppidanstraede 111, 9220 Aalborg East, DenmarkDepartment of Energy Technology, Aalborg University, Pontoppidanstraede 111, 9220 Aalborg East, DenmarkModel predictive control based wave power extraction algorithms have been developed and found promising for wave energy converters. Although mostly proven by simulation studies, model predictive control based algorithms have shown to outperform classical wave power extraction algorithms such as linear damping and reactive control. Prediction models and objective functions have, however, often been simplified a lot by for example, excluding power take-off system losses. Furthermore, discrete fluid power forces systems has never been validated experimentally in published research. In this paper a model predictive control based wave power extraction algorithm is designed for a discrete fluid power power take-off system. The loss models included in the objective function are based on physical models of the losses associated with discrete force shifts and throttling. The developed wave power extraction algorithm directly includes the quantized force output and the losses models of the discrete fluid power system. The experimental validation of the wave power extraction algorithm developed in the paper shown an increase of 14.6% in yearly harvested energy when compared to a reactive control algorithm.https://www.mdpi.com/1996-1073/12/19/3668wave energymodel predictive controlexperimental validationreal-time mpcdiscrete fluid power pto |
| spellingShingle | Anders H. Hansen Magnus F. Asmussen Michael M. Bech Hardware-in-the-Loop Validation of Model Predictive Control of a Discrete Fluid Power Power Take-Off System for Wave Energy Converters Energies wave energy model predictive control experimental validation real-time mpc discrete fluid power pto |
| title | Hardware-in-the-Loop Validation of Model Predictive Control of a Discrete Fluid Power Power Take-Off System for Wave Energy Converters |
| title_full | Hardware-in-the-Loop Validation of Model Predictive Control of a Discrete Fluid Power Power Take-Off System for Wave Energy Converters |
| title_fullStr | Hardware-in-the-Loop Validation of Model Predictive Control of a Discrete Fluid Power Power Take-Off System for Wave Energy Converters |
| title_full_unstemmed | Hardware-in-the-Loop Validation of Model Predictive Control of a Discrete Fluid Power Power Take-Off System for Wave Energy Converters |
| title_short | Hardware-in-the-Loop Validation of Model Predictive Control of a Discrete Fluid Power Power Take-Off System for Wave Energy Converters |
| title_sort | hardware in the loop validation of model predictive control of a discrete fluid power power take off system for wave energy converters |
| topic | wave energy model predictive control experimental validation real-time mpc discrete fluid power pto |
| url | https://www.mdpi.com/1996-1073/12/19/3668 |
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