Abstract: Effective lift control of wind-turbine blades will reduce the fatigue loads of wind turbines, which can improve the reliability of wind turbines. This paper presents a simulation platform that contains a static lift control system of wind turbine blade test model with deformable trailing edge flap. In the system, the software, Matlab/Simulink, which serves as the host computer is used to establish the static lift mathematical model of the wind turbine blade test model and the system control algorithm. The real-time sampling and output are realized by PLC which serves as the slave computer. OPC technique is applied to realize the real-time communication between the host computer and the slave computer. The result shows that the control system effectively reduced the lift fluctuation of wind turbine blade test model under periodic gradient wind, periodic gust, choppy wind and the turbulent wind. Meanwhile, the control system can better make up for the lift fluctuation resulting from wind disturbance while using single neuron PID controller which has a better control result than using common PID controller.

Key words:  Smart wind turbine blades, lift control, trailing edge flap, single neuron PID, OPC technique

摘要： 可通过有效控制风力机叶片的升力间接减小风力机的疲劳载荷，提高风力机的可靠性。该文建立了基于尾缘襟翼的风力机叶片试验模型静态升力控制系统仿真平台。该系统在上位机Matlab/Simulink中建立叶片试验模型静态升力的数学模型和系统控制算法，利用下位机PLC进行实时数据采集和输出，并利用用于过程控制的OPC（OLE for Process Control，OPC）技术实现上位机和下位机的实时数据通信。结果表明：该控制系统通过主动调节尾缘襟翼的偏转角度有效地减小了周期渐变风、周期阵风、阶梯风和湍流风风况下叶片的升力波动幅度。同时，使用单神经元PID控制器能更好地弥补风扰动引起的升力波动，其控制效果优于经典PID控制器。

关键词: 智能叶片, 升力控制, 尾缘襟翼, 单神经元PID, OPC技术