【摘要】 为解决风电叶片双轴疲劳测试中加载不同步问题,文章在摆锤离心共振式加载方式的基础上设计了相位同步控制系统。采用基于BP神经网络的同步控制策略,利用扫频法确定叶片各轴共振频率,为提高激振源的同步效果,采用交叉耦合结构,开发相位同步补偿算法确定控制器向双轴电机发送的补偿脉冲信号。以56.4 m兆瓦级风电叶片的相关参数作为试验数据建立Simulink仿真模型,进行相位同步控制系统与传统PID自动控制系统对比仿真实验。仿真结果显示:当加载到120 s时,双轴电机的转速误差在5%以下,相位误差在±0.05范围内,达到风电叶片双轴离心共振加载要求;与传统PID控制策略相比,达到稳态的时间缩短了50%左右,相位同步控制效果提高了20%。更多还原

【Abstract】 In order to solve the problem of non-synchronous loading in the biaxial fatigue test of wind turbine blades, a close-loop control system is designed based on the resonance rotating loading method. The synchronous control strategy based on BP neural network is adopted, and the resonance frequency of each axis is determined using sweep frequency method. In order to improve the synchronous effect, cross-coupled structure is adopted and a phase synchronization compensation algorithm is developed to determine the compensated pulse signal sent by the controller to the dual axis motor. Taking the relevant parameters of 56.4 m MW wind turbine blades as test data, the Simulink simulation model is established. The phase-synchronization control system is compared with the traditional PID automatic control system. The simulation experiment results show that the biaxial electric motor speed error below 5% when loaded into the 120 s. The phase error within ± 0.05, which resonates biaxial wind-power blade centrifugal load requirements. Compared with the traditional PID control strategy, the steady-state time is shortened by about 50%, and the phase synchronization control effect is improved by 20%.更多还原