TEMPERATURE INTELLIGENT CONTROL SYSTEM FOR HOT MELT GLUE SPRAYING MACHINE BASED ON OPTIMIZATION OF FUZZY PID CONTROL ALGORITHM

The melt adhesive spraying machine is crucial in modern industrial production, as its temperature control accuracy directly affects product quality and production efficiency.A temperature-intelligent control system based on a fuzzy proportional-integral-derivative (PID) control algorithm has been developed.This system optimizes the current automatic glue spraying system's ability to adapt to complex working conditions.It also improves the system's accuracy and response time for path recognition and automation operations.This research method integrates fuzzy control theory with the traditional PID algorithm to construct an adaptive temperature control model.It uses fuzzy reasoning and an improved particle swarm optimization algorithm to optimize the controller's inputs and outputs, enhancing its robustness under nonlinear operating conditions.At the same time, the research also combines image processing techniques (image edge detection, equalization processing, path tracking, etc.) to achieve high-precision spray path planning, in order to improve the intelligence of image processing.The results showed that the optimization system reduced the single task time to 22 minutes (traditional system 31 minutes), increased the product qualification rate to 98% (traditional system 90%), and reduced energy consumption to 18.30 kWh (traditional system 20.15 kWh).The intelligent system of the hot melt glue spraying machine, which was designed for research, could effectively solve temperature control fluctuations and defects in trajectory accuracy in complex glue spraying scenes.This is achieved through adaptive fuzzy PID adjustment and a collaborative visual path planning mechanism.The innovation lies in the deep integration of fuzzy logic's dynamic compensation capability with PID stability.This significantly improves the intelligence level of spraying technology, providing an efficient, reliable, and energy-saving industrial automation solution.

Publication Details

Journal
International Journal of Mechatronics and Applied Mechanics
Published
2025-09-22
DOI
https://doi.org/10.17683/ijomam/issue21.15
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
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article

TEMPERATURE INTELLIGENT CONTROL SYSTEM FOR HOT MELT GLUE SPRAYING MACHINE BASED ON OPTIMIZATION OF FUZZY PID CONTROL ALGORITHM

International Journal of Mechatronics and Applied Mechanics
Advanced Algorithms and Applications
article

TEMPERATURE INTELLIGENT CONTROL SYSTEM FOR HOT MELT GLUE SPRAYING MACHINE BASED ON OPTIMIZATION OF FUZZY PID CONTROL ALGORITHM

article en

Abstract

The melt adhesive spraying machine is crucial in modern industrial production, as its temperature control accuracy directly affects product quality and production efficiency.A temperature-intelligent control system based on a fuzzy proportional-integral-derivative (PID) control algorithm has been developed.This system optimizes the current automatic glue spraying system's ability to adapt to complex working conditions.It also improves the system's accuracy and response time for path recognition and automation operations.This research method integrates fuzzy control theory with the traditional PID algorithm to construct an adaptive temperature control model.It uses fuzzy reasoning and an improved particle swarm optimization algorithm to optimize the controller's inputs and outputs, enhancing its robustness under nonlinear operating conditions.At the same time, the research also combines image processing techniques (image edge detection, equalization processing, path tracking, etc.) to achieve high-precision spray path planning, in order to improve the intelligence of image processing.The results showed that the optimization system reduced the single task time to 22 minutes (traditional system 31 minutes), increased the product qualification rate to 98% (traditional system 90%), and reduced energy consumption to 18.30 kWh (traditional system 20.15 kWh).The intelligent system of the hot melt glue spraying machine, which was designed for research, could effectively solve temperature control fluctuations and defects in trajectory accuracy in complex glue spraying scenes.This is achieved through adaptive fuzzy PID adjustment and a collaborative visual path planning mechanism.The innovation lies in the deep integration of fuzzy logic's dynamic compensation capability with PID stability.This significantly improves the intelligence level of spraying technology, providing an efficient, reliable, and energy-saving industrial automation solution.

International Journal of Mechatronics and Applied MechanicsVol. I(21)
Openalex Percentile: Top 68%
Advanced Algorithms and Applications
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