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变桨距控制可以有效地调节风力机的输出功率等参数,因此广泛地应用于风力发电领域。传统的BP神经网络PID变桨距控制系统具有误差收敛速度慢、易出现振荡等缺点,本文提出了基于改进型学习率自适应BP神经网络的风力发电变桨距控制系统。通过MATLAB分别对采用传统BP神经网络PID和改进后的BP神经网络PID控制变桨距系统进行仿真对比,并验证了本文提出控制方案的可行性与优越性。
Pitch control can effectively adjust the wind turbine output power and other parameters, it is widely used in the field of wind power. The traditional BP neural network PID pitch control system has the shortcomings of slow error convergence and easy oscillation. In this paper, a wind turbine pitch control system based on an improved BP neural network with improved learning rate is proposed. The simulation and comparison between the traditional BP neural network PID and the improved BP neural network PID control pitch system are carried out respectively by MATLAB, and the feasibility and superiority of the control scheme proposed in this paper are verified.