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Intelligent control of gas-assisted injection molding control systems

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Abstract

This study described the design and construction of gas-assisted injection molding systems incorporating a traditional injection molding machine. This combined system is called a gas-assisted injection molding control system (GAIMCS). The mathematical model of GAIMCS with nonlinear dynamics is difficult to establish accurately. Therefore, model-free intelligent control strategies were developed to control this system and evaluate its control performances. This work presents two intelligent control strategies: (1) traditional fuzzy controller (TFC), and (2) grey prediction fuzzy controller (GPFC). The GAIMCS was controlled by the GPFC, which was compared to a TFC to evaluate the system control performance. The GPFC achieves better control performances in accelerating rise time, and it reduces the system steady-state error better than the TFC for high-pressure gas control in GAIMCS, based on the verified experimental results.

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Authors and Affiliations

  1. Department of Vehicle Engineering, National Taipei University of Technology, No. 1, Sec. 3, Jhongsiao E. Rd., Taipei City, 106, Taiwan

    Bai-Fu Lin

  2. Department of Industrial Management, Vanung University, No. 1, Wanneng Rd., Jhongli City, Toayuan County, 320, Taiwan

    Ruey-**g Lian

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  1. Bai-Fu Lin
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  2. Ruey-**g Lian
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Correspondence to Ruey-**g Lian.

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Lin, BF., Lian, RJ. Intelligent control of gas-assisted injection molding control systems. Int J Adv Manuf Technol 29, 296–307 (2006). https://doi.org/10.1007/s00170-005-2512-5

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  • DOI: https://doi.org/10.1007/s00170-005-2512-5

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