Robust LQ Optimal Control for Wind Turbine Power Tracking Operation
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866929442993995776 |
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| author | Grapentin, Aaron Hans, Christian A. Raisch, Jörg |
| author_facet | Grapentin, Aaron Hans, Christian A. Raisch, Jörg |
| contents | In this paper, a robust linear quadratic optimal control approach for accurate active power tracking of wind turbines is presented. For control synthesis, linear matrix inequalities are employed using an augmented wind turbine state model with uncertain parameters. The resulting controller ensures robust stability in different operating regions. In a case study, the novel approach is compared to existing controllers from literature. Simulations indicate that the controller improves power tracking accuracy while leading to similar mechanical wear as existing approaches. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_20922 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Robust LQ Optimal Control for Wind Turbine Power Tracking Operation Grapentin, Aaron Hans, Christian A. Raisch, Jörg Systems and Control In this paper, a robust linear quadratic optimal control approach for accurate active power tracking of wind turbines is presented. For control synthesis, linear matrix inequalities are employed using an augmented wind turbine state model with uncertain parameters. The resulting controller ensures robust stability in different operating regions. In a case study, the novel approach is compared to existing controllers from literature. Simulations indicate that the controller improves power tracking accuracy while leading to similar mechanical wear as existing approaches. |
| title | Robust LQ Optimal Control for Wind Turbine Power Tracking Operation |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2407.20922 |