Distributed Co-Simulation of Reinforcement Learning Optimized Fuzzy PID Control of a 10-MW Wind Turbine Yaw System
To address the limited adaptability and tuning efficiency of conventional yaw controllers under turbulent wind conditions, this paper investigates a reinforcement learning (RL)–optimized fuzzy PID control scheme for offshore wind turbine yaw systems. A distributed real-time co-simulation framework i...
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| Huvudupphov: | , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
MDPI AG
2026-04-01
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| Serie: | Energies |
| Ämnen: | |
| Länkar: | https://www.mdpi.com/1996-1073/19/7/1726 |
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