The film blowing machine is a piece of equipment utilized for manufacturing plastic film through the extrusion of melted plastic particles to form continuous film. To meet the requirements for automating the film blowing machine, the focus is on the analysis of the rotating servo motor within the machine. Discussions involve the servo motor’s relevant structure, and a mathematical simulation model using Simulink is developed to simulate the servo motor’s control system in the Matlab environment. The system employs a combination of PID control and fuzzy logic control to enhance performance. Transfer functions and fuzzy rules are established based on the servo motor’s characteristics and parameters. Through simulations, the effectiveness of the fuzzy PID control method is compared to that of PID control or fuzzy logic control independently. Step response curves for the different controllers are created in Matlab, and the various control methods are assessed by comparing their response curve differences. The results show that the adaptive fuzzy PID control method is superior to the traditional PID control method in terms of dynamic performance and robustness, and realizes the precise control of the blown film thickness.

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Fuzzy PID-Based Control Method for Thickness Uniformity in Blown Film

  • Yujie Zhang,
  • Tao Wang,
  • Bing Zhang

摘要

The film blowing machine is a piece of equipment utilized for manufacturing plastic film through the extrusion of melted plastic particles to form continuous film. To meet the requirements for automating the film blowing machine, the focus is on the analysis of the rotating servo motor within the machine. Discussions involve the servo motor’s relevant structure, and a mathematical simulation model using Simulink is developed to simulate the servo motor’s control system in the Matlab environment. The system employs a combination of PID control and fuzzy logic control to enhance performance. Transfer functions and fuzzy rules are established based on the servo motor’s characteristics and parameters. Through simulations, the effectiveness of the fuzzy PID control method is compared to that of PID control or fuzzy logic control independently. Step response curves for the different controllers are created in Matlab, and the various control methods are assessed by comparing their response curve differences. The results show that the adaptive fuzzy PID control method is superior to the traditional PID control method in terms of dynamic performance and robustness, and realizes the precise control of the blown film thickness.