【摘要】 当风速在额定值以上时,分析液压变桨距控制系统工作原理,基于变速变桨距风能转换系统(WECS)多变量控制策略,设计变速变桨距WECS神经网络比例积分微分(NNPID)桨距角补偿器对桨距角进行自动补偿,通过神经网络权值训练方法调整PID控制器参数。基于WECS硬件仿真平台对所设计的控制器进行实验验证,研究结果表明通过NNPID补偿的风力发电机功率输出稳定性能好,减少了风力发电机转矩的机械振动。更多还原

【Abstract】 When the wind speed is above the rated value,the principle of blade variable-pitch angle is analyzed, combing variable-speed variable-pitch wind energy conversion system(WECS) multi-variable control strategy,the blade pitch angle compensator of neural network proportional-integral-differentiation(NNPID) for WECS is designed to automatically compensate blade pitch angle by using weights training method of neural network to adjust PID controller parameters.The simulation platform is set up based on WECS,and the results show that the stable performance of output power is better which compensated by NNPID,and the fluctuations of wind generator torque are less.更多还原