基于改进DMC的风力机智能叶片多目标襟翼控制

IMPROVED DMC-BASED SMART BLADE MULTI-TARGET FLAP CONTROL OF WIND TURBINE

为研究尾缘襟翼在风力机主动降载和功率控制方面的效果,以NREL 5 MW参考风力机为研究对象,在改进FAST的带有尾缘襟翼的气弹仿真平台基础上,使用改进动态矩阵控制(DMC)方法,将独立襟翼控制器与集成襟翼控制器结合,提出DMC多目标襟翼控制策略。仿真结果表明,稳定风况及湍流风况下,独立襟翼控制器均能很好地降低叶根疲劳载荷;阶跃风况下与传统DMC控制器相比,使用改进DMC的集成襟翼控制器对叶轮功率的控制效果更好;湍流风况下与PID襟翼控制策略相比,DMC多目标襟翼控制策略有更好的控制效果,能使叶根弯矩标准差降低52.64%,叶轮功率标准差降低74.62%。

In order to investigate the effect of trailing edge flap on active load alleviation and power control of wind turbine,A multi-target flap control strategy was designed using an improved dynamic matrix control method on the NREL5 MW reference wind turbine. The strategy combines individual flap controller and collective flap controller to designed for the purpose of blade active load alleviation and rotor power control on wind turbine simulation platform which developed by an aeroelastic simulator-FAST. The simulation results showed that at both steady and turbulent wind condition,the individual flap controller can reduce the blade fatigue load effectively. At step wind condition,the collective flap controller which uses improved DMC method performs better than the original DMC controller for the control target of rotor power. Compare with the PID controller strategy at turbulent wind condition,the DMC multi-target flap control strategy have a better performance,which can reduce the standard deviation of blade root moment by 52.64% and reduce the standard deviation of rotor power by 74.62%.