随着风电机组基础结构的不断增大,风电机组的控制方法面临新的机遇和挑战,而遥感测量技术的发展给传统风电机组控制策略提供一个新的研究领域。该文提出了基于激光雷达(light detection and ranging,LIDAR)辅助风电机组模型预测控制方...随着风电机组基础结构的不断增大,风电机组的控制方法面临新的机遇和挑战,而遥感测量技术的发展给传统风电机组控制策略提供一个新的研究领域。该文提出了基于激光雷达(light detection and ranging,LIDAR)辅助风电机组模型预测控制方法来实现控制系统对风速扰动的前馈补偿控制。首先根据叶素动量理论分析风电机组的载荷情况和LIDAR预测风轮迎风面的有效风速,利用扩展卡尔曼滤波重建噪声状态的非线性风电机组模型的未知状态,对预测时域状态值的进行预测实时处理,以求解最小目标函数获取系统当前时刻的最优化控制,使得系统参考轨迹和未来输出值之间差值实现最小化。最后,通过进行风电机组传统控制方法与LIDAR辅助线性模型预测控制、非线性模型预测控制的对比实验,证明LIDAR与模型预测控制相结合的控制方式能在一定程度上提高大型风电机组的风能利用系数,缓解风电机组的疲劳载荷。展开更多
A gain-scheduled feedforward controller, based on pseudo-LIDAR （light detection and ranging） wind speed measurement, is designed to augment the baseline feedback controller for wind turbine＇s load reduction in abov...A gain-scheduled feedforward controller, based on pseudo-LIDAR （light detection and ranging） wind speed measurement, is designed to augment the baseline feedback controller for wind turbine＇s load reduction in above rated operation. The pseudo-LIDAR measurement data are generated from a commercial software- Bladed using a designed sampling strategy. The nonlinear wind turbine model has been simplified and linearised at a set of equilibrium operating points. The feedforward controller is firstly developed based on a linearised model at an above rated wind speed, and then expanded to the full above rated operational envelope by employing gain scheduling strategy. The combined feedforward and baseline feedback control is simulated on a 5MW industrial wind turbine model. Simulation studies demonstrate that the proposed control strategy can improve the rotor and tower load reduction performance for large wind turbines.展开更多
文摘随着风电机组基础结构的不断增大,风电机组的控制方法面临新的机遇和挑战,而遥感测量技术的发展给传统风电机组控制策略提供一个新的研究领域。该文提出了基于激光雷达(light detection and ranging,LIDAR)辅助风电机组模型预测控制方法来实现控制系统对风速扰动的前馈补偿控制。首先根据叶素动量理论分析风电机组的载荷情况和LIDAR预测风轮迎风面的有效风速,利用扩展卡尔曼滤波重建噪声状态的非线性风电机组模型的未知状态,对预测时域状态值的进行预测实时处理,以求解最小目标函数获取系统当前时刻的最优化控制,使得系统参考轨迹和未来输出值之间差值实现最小化。最后,通过进行风电机组传统控制方法与LIDAR辅助线性模型预测控制、非线性模型预测控制的对比实验,证明LIDAR与模型预测控制相结合的控制方式能在一定程度上提高大型风电机组的风能利用系数,缓解风电机组的疲劳载荷。
基金supported by UK Engineering and Physical Sciences Research Council(EPSRC)Supergen Wind project(No.EP/N006224/1)
文摘A gain-scheduled feedforward controller, based on pseudo-LIDAR （light detection and ranging） wind speed measurement, is designed to augment the baseline feedback controller for wind turbine＇s load reduction in above rated operation. The pseudo-LIDAR measurement data are generated from a commercial software- Bladed using a designed sampling strategy. The nonlinear wind turbine model has been simplified and linearised at a set of equilibrium operating points. The feedforward controller is firstly developed based on a linearised model at an above rated wind speed, and then expanded to the full above rated operational envelope by employing gain scheduling strategy. The combined feedforward and baseline feedback control is simulated on a 5MW industrial wind turbine model. Simulation studies demonstrate that the proposed control strategy can improve the rotor and tower load reduction performance for large wind turbines.
