The work aims to propose a PID parameter setting method based on improved grey wolf algorithm to solve the problems of variable load, multi-mode and difficult PID parameter setting in liquid level control for beer filling, so as to improve the working efficiency of beer production. The grey wolf algorithm was improved, and the convergence factor was adjusted dynamically by the Euclidian distance change rate to balance the global search ability of the algorithm. The dynamic adaptive weight factor was introduced to improve the optimization speed and accuracy of the algorithm. The improved algorithm was compared with the basic grey wolf algorithm and its performance was verified by test function. The simulation results indicated that the improved grey wolf algorithm enhanced the convergence speed and accuracy significantly. For the PID parameters set by improved grey wolf algorithm, the rise time was 1.9 seconds, the adjustment time was 5.12 seconds, and the overshoot was 3.78%. Compared with the basic grey wolf algorithm, the improved grey wolf algorithm is used to set the PID parameters of beer filling level. The adjustment time is fast and the overshoot is small, which can better meet the control requirements of beer production.