Objective. Solve the problems of low working efficiency and low filling accuracy of beer filling machine. Methods. The structure and working principle of beer filling machine were analyzed, and the control mode based on the weight deviation of secondary supplementary filling was determined; On the basis of PLC controller, using the characteristics of strong anti-interference ability of fuzzy algorithm and good self-adaptability of neural network algorithm, a PID control strategy based on fuzzy neural network was proposed, and simulation analysis and filling test were carried out. Results. Within the set target range, the maximum deviation of filling weight was only 1.7g, and the filling qualification rate was 100%. Compared with the traditional PID control, the response speed of the algorithm was improved by 55% and the filling accuracy was improved by 50%. Conclusion. The test method can effectively improve the filling accuracy and filling efficiency, and can meet the requirements...

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