Model-Free Control for Doubly Salient Permanent Magnet-Generator-Based Tidal Stream Turbine Considering Flux-Weakening Operation
Renewable energy generation is increasingly important due to serious energy issues. A Doubly Salient Permanent Magnet Generator (DSPMG) can be an interesting candidate for tidal stream renewable energy systems. However, the special structure makes the system nonlinear and strongly coupled even after...
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| Format: | Article |
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MDPI AG
2023-11-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/11/12/2276 |
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| author | Hao Chen Luming Liu Yassine Amirat Zhibin Zhou Nadia Aϊt-Ahmed Mohamed Benbouzid |
| author_facet | Hao Chen Luming Liu Yassine Amirat Zhibin Zhou Nadia Aϊt-Ahmed Mohamed Benbouzid |
| author_sort | Hao Chen |
| collection | DOAJ |
| description | Renewable energy generation is increasingly important due to serious energy issues. A Doubly Salient Permanent Magnet Generator (DSPMG) can be an interesting candidate for tidal stream renewable energy systems. However, the special structure makes the system nonlinear and strongly coupled even after Park transformation and involves a larger torque ripple. Previous research mainly focused on model-based control for this machine, which is very sensitive to the parameters. Thus, to control the complex systems stably and accurately, two model-free control algorithms, Active Disturbance Rejection-Based Iterative Learning Control (ADRILC) and Active Disturbance Rejection Control–Iterative Learning Control (ADRC–ILC), are proposed for the current and speed control loops of a DSPMG-based Tidal Stream Turbine (TST), respectively. ADRC–ILC uses ADRC to deal with the external non-periodic speed ripple and adopts ILC to reduce the internal periodic speed ripple. ADRILC employs an iterative method to improve the ESO for the enhancement of the convergence rate of ILC. Considering the variable tidal speed, when the speed is above the rated value, Maximum Power Point Tracking (MPPT) must be changed to a power limitation strategy for limiting the generator power to the rated value and extending the system operating range. Thus, Optimal Tip Speed Ratio (OTSR)-based MPPT (for a low tidal current speed) and Leading Angle Flux-Weakening Control (LAFWC) (for a high tidal current speed) strategies are also proposed. According to the simulation results, the proposed ADRC–ILC + ADRILC has the lowest torque ripple, the highest control accuracy, as well as a good current tracking capability and strong robustness. At the rated speed, the proposed method reduces the torque ripple by more than 20% and the speed error by about 80% compared with PI control: the current difference is limited in 2A. The LAFWC proposed for an excessive tidal current speed is effective in conserving the electromagnetic power and increasing the generator speed. |
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| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-08T20:37:47Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
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| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-63b9742424644328a1e5f8ba2cac24472023-12-22T14:18:47ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-11-011112227610.3390/jmse11122276Model-Free Control for Doubly Salient Permanent Magnet-Generator-Based Tidal Stream Turbine Considering Flux-Weakening OperationHao Chen0Luming Liu1Yassine Amirat2Zhibin Zhou3Nadia Aϊt-Ahmed4Mohamed Benbouzid5The Research Institute of Power Drive and Control, Shanghai Maritime University, Shanghai 201306, ChinaThe Research Institute of Power Drive and Control, Shanghai Maritime University, Shanghai 201306, ChinaL@bISEN, ISEN Yncréa Ouest, 29200 Brest, FranceL@bISEN, ISEN Yncréa Ouest, 29200 Brest, FranceInstitut de Recherche en Energie Electrique de Nantes Atlantique, University of Nantes, 44602 Saint-Nazaire, FranceThe Research Institute of Power Drive and Control, Shanghai Maritime University, Shanghai 201306, ChinaRenewable energy generation is increasingly important due to serious energy issues. A Doubly Salient Permanent Magnet Generator (DSPMG) can be an interesting candidate for tidal stream renewable energy systems. However, the special structure makes the system nonlinear and strongly coupled even after Park transformation and involves a larger torque ripple. Previous research mainly focused on model-based control for this machine, which is very sensitive to the parameters. Thus, to control the complex systems stably and accurately, two model-free control algorithms, Active Disturbance Rejection-Based Iterative Learning Control (ADRILC) and Active Disturbance Rejection Control–Iterative Learning Control (ADRC–ILC), are proposed for the current and speed control loops of a DSPMG-based Tidal Stream Turbine (TST), respectively. ADRC–ILC uses ADRC to deal with the external non-periodic speed ripple and adopts ILC to reduce the internal periodic speed ripple. ADRILC employs an iterative method to improve the ESO for the enhancement of the convergence rate of ILC. Considering the variable tidal speed, when the speed is above the rated value, Maximum Power Point Tracking (MPPT) must be changed to a power limitation strategy for limiting the generator power to the rated value and extending the system operating range. Thus, Optimal Tip Speed Ratio (OTSR)-based MPPT (for a low tidal current speed) and Leading Angle Flux-Weakening Control (LAFWC) (for a high tidal current speed) strategies are also proposed. According to the simulation results, the proposed ADRC–ILC + ADRILC has the lowest torque ripple, the highest control accuracy, as well as a good current tracking capability and strong robustness. At the rated speed, the proposed method reduces the torque ripple by more than 20% and the speed error by about 80% compared with PI control: the current difference is limited in 2A. The LAFWC proposed for an excessive tidal current speed is effective in conserving the electromagnetic power and increasing the generator speed.https://www.mdpi.com/2077-1312/11/12/2276tidal stream turbinedoubly salient permanent magnet generatormodel-free controlactive disturbance rejection-based iterative learning controlmaximum power point trackingleading angle flux-weakening control |
| spellingShingle | Hao Chen Luming Liu Yassine Amirat Zhibin Zhou Nadia Aϊt-Ahmed Mohamed Benbouzid Model-Free Control for Doubly Salient Permanent Magnet-Generator-Based Tidal Stream Turbine Considering Flux-Weakening Operation Journal of Marine Science and Engineering tidal stream turbine doubly salient permanent magnet generator model-free control active disturbance rejection-based iterative learning control maximum power point tracking leading angle flux-weakening control |
| title | Model-Free Control for Doubly Salient Permanent Magnet-Generator-Based Tidal Stream Turbine Considering Flux-Weakening Operation |
| title_full | Model-Free Control for Doubly Salient Permanent Magnet-Generator-Based Tidal Stream Turbine Considering Flux-Weakening Operation |
| title_fullStr | Model-Free Control for Doubly Salient Permanent Magnet-Generator-Based Tidal Stream Turbine Considering Flux-Weakening Operation |
| title_full_unstemmed | Model-Free Control for Doubly Salient Permanent Magnet-Generator-Based Tidal Stream Turbine Considering Flux-Weakening Operation |
| title_short | Model-Free Control for Doubly Salient Permanent Magnet-Generator-Based Tidal Stream Turbine Considering Flux-Weakening Operation |
| title_sort | model free control for doubly salient permanent magnet generator based tidal stream turbine considering flux weakening operation |
| topic | tidal stream turbine doubly salient permanent magnet generator model-free control active disturbance rejection-based iterative learning control maximum power point tracking leading angle flux-weakening control |
| url | https://www.mdpi.com/2077-1312/11/12/2276 |
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