Blade Pitch Control of Wind Turbines with Speed Regulating Differential Mechanism Considering Impeller Imbalance
- Publisher:
- Chinese Mechanical Engineering Society
- Publication Type:
- Journal Article
- Citation:
- Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2024, 35, (10), pp. 1890-1899
- Issue Date:
- 2024-10-25
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| 24199655_16745790580005671.pdf | Published version | 4.55 MB |
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To cnsurc the energy efficiency and stability of the SRDM-bascd WTs across the entire wind speed ranges, a control method was proposed based on radial basis function(RBF) neural net-works and sliding mode variable strueture control(SMVSC), which enabled precise and rapid pitch angle adjustment for SRDM-bascd WTs, while considering the effects of wind wheel imbalance, wind shear, and tower shadow. This approach incorporated the sliding mode error into the adaptive law, al-lowing for the effective suppression of chatting effects by dynamically adjusting the weights and center values of the RBF neural network in real-time. A Simulation model of 1.5 MW SRDM-bascd WTs was establishcd, and then verified using the built cxperimental platform, through which the control Performance of the proposed RBF-SMVSC method was compared and validated. The results indicate that, compared to independent pitch methods with traditional proportional-intcgral(Pl) and SMC, the proposed control method may adjust WT s speed and power Output morc rapidly and accuratcly under va-rious wind speed conditions, and significantly enhance energy capture and reduce unbalanccd loads.
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