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Aiming at the unbalanced load that the wind turbine is subjected to when it operates above the rated wind speed, an independent pitch control strategy that combines the Radial Basis Function (RBF) neural network and Model Predictive Control (MPC) is proposed. A meanperiod statespace model suitable for controller design is established by means of wind turbine dynamics equations and coordinate transformations. On the basis of Kalman state observer, the model predictive control is used to adjust the pitch angle of the wind turbine instantaneously and the RBF controller to suppress the loads, and then the required independent pitch controller is designed. Taking the NERL 5 MW wind turbine platform as an example, the load characteristics of the independent pitch control strategies based on Proportional Integral (PI), MPC, and MPCRBF are analysed under turbulent winds, as well as their operating characteristics. Simulation results indicate that the method can reduce the load efficiently, improve the operating life of the wind turbine, and have a better suppression effect on the power fluctuation.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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