Aiming at the problem that the thickness of ultra-thin amorphous alloy is uneven and the pressure in the transition ladle is affected by many factors when the pressure in the transition ladle fluctuates greatly in the production process of ultra-thin amorphous alloy, and the effect of conventional PID control is poor, a control strategy based on deviation combination expert PID was proposed.The influencing factors of the pressure in the transition ladle were analyzed, and an adaptive particle swarm optimization algorithm was proposed to optimize the weight and threshold of BP neural network, the pressure prediction model in the transition ladle was constructed and the predicted value of the pressure in the transition ladle was obtained, the prediction deviation was calculated. The pressure measurement deviation was obtained from the set value and measured value, and the prediction deviation and measurement deviation were combined by weight factors. Finally, the expert controller with deviation combination was used to adjust the PID coefficients online to realize the pressure control in the transition ladle based on deviation combination expert PID. The results show that the rise time of the proposed control method is less than 30 s, the overshoot is less than 1%, and the steady-state error is less than 0.05 kPa. It can stably track the pressure setting curve in the transition ladle, and the tracking error is less than 0.05 kPa, which meets the requirements of on-site production. Compared with other algorithms, this method has better control effect and can be used to control the pressure in the transition ladle.