目的 提高啤酒灌装质量和效率，对贮液罐液位进行精确控制。方法 在传统PID控制的基础上，提出一种RBF神经网络与PID相结合的啤酒灌装机贮液缸内液位自适应控制方法。利用RBF神经网络的快速自学习能力调整PID控制的比例、积分、微分系数。结果 与传统PID控制相比，RBF-PID控制响应速度快，超调量较小，系统达到稳定的时间得到大大缩短。结论 文中方法提高了啤酒灌装机贮液罐内液位的控制精度，有效提高了啤酒的质量和产量。

The work aims to improve the quality and efficiency of beer filling, so as to accurately control the liquid level of liquid storage tank. On the basis of traditional PID control, the method to adaptively control the liquid level in the liquid storage tank of beer filling machine (its RBF neural network was combined with PID) was proposed. The fast self-learning ability of RBF neural network was used to adjust the proportion, integral and differential coefficient of PID control. Compared with the traditional PID control, the response speed of RBF-PID control was fast, the overshoot was small and the time for the system to be stabilized had been greatly shortened. The proposed method has improved the control accuracy of the liquid level in the liquid storage tank of beer filling machine, which effectively enhances the quality and yield of beer.