Tobacco shred air conveying speed control method based on fuzzy RBF neural network

The invention discloses a tobacco shred air conveying speed control method based on a fuzzy RBF neural network. The tobacco shred air conveying speed control method comprises the steps that the target air speed r (k) is obtained; inputting the target wind speed r (k) into a fuzzy RBF neural network obtained by pre-training to obtain a control decision pair proportion parameter kp, an integral parameter ki and a differential parameter kd; inputting the control decision pair proportion parameter kp, the integral parameter ki and the differential parameter kd into a PID controller to obtain a correction value; calculating an output value u (k) by adopting an incremental PID (Proportion Integration Differentiation) control algorithm based on the correction value; and adjusting the wind speed control valve to an output value u (k). 本发明公开了一种基于模糊RBF神经网络的烟丝风送速度控制方法，包括：获取目标风速r(k)；将目标风速r(k)输入预先训练获得的模糊RBF神经网络，获得控制决策对比例参数kp、积分参数ki及微分参数kd；将控制决策对比例参数kp、积分参数ki及微分参数kd输入PID控制器，获得修正值；基于修正值，采用增量式PID控制算法计算输出值u(k)；将风速控制阀调整到输出值u(k