SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2023, Vol. 62 ›› Issue (10): 270-280.DOI: 10.1016/j.cjche.2023.03.024

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A master–slave generalized predictive synchronization control for preheating process of multi-cavity hot runner system

Hongyi Qu1, Shengyong Mo2, Ke Yao2, Zhao-Xia Huang4, Zhihao Xu1, Furong Gao2,3   

  1. 1. Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangdong Key Laboratory of Modern Control Technology, Guangzhou 510070, China;
    2. Fok Ying Tung Graduate School, The Hong Kong University of Science and Technology, Guangzhou 511442, China;
    3. Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, China;
    4. National Engineering Research Center of Novel Equipment for Polymer Processing, Department of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China
  • Received:2022-08-23 Revised:2023-03-24 Online:2023-12-23 Published:2023-10-28
  • Contact: Hongyi Qu,E-mail:hy.qu@giim.ac.cn
  • Supported by:
    This project is supported in part by National Natural Science Foundation of China (62203127), Basic and Applied Basic Research Project of Guangzhou City (2023A04J1712), The Foshan-HKUST Projects Program (FSUST19-FYTRI01) and GDAS’ Project of Science and Technology Development (2020GDASYL-20200202001).

A master–slave generalized predictive synchronization control for preheating process of multi-cavity hot runner system

Hongyi Qu1, Shengyong Mo2, Ke Yao2, Zhao-Xia Huang4, Zhihao Xu1, Furong Gao2,3   

  1. 1. Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangdong Key Laboratory of Modern Control Technology, Guangzhou 510070, China;
    2. Fok Ying Tung Graduate School, The Hong Kong University of Science and Technology, Guangzhou 511442, China;
    3. Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, China;
    4. National Engineering Research Center of Novel Equipment for Polymer Processing, Department of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China
  • 通讯作者: Hongyi Qu,E-mail:hy.qu@giim.ac.cn
  • 基金资助:
    This project is supported in part by National Natural Science Foundation of China (62203127), Basic and Applied Basic Research Project of Guangzhou City (2023A04J1712), The Foshan-HKUST Projects Program (FSUST19-FYTRI01) and GDAS’ Project of Science and Technology Development (2020GDASYL-20200202001).

Abstract: As a key component of injection molding, multi-cavity hot runner (MCHR) system faces the crucial problem of polymer melt filling imbalance among the cavities. The thermal imbalance in the system has been considered as the leading cause. Hence, the solution may rest with the synchronization of those heating processes in MCHR system. This paper proposes a ‘Master-Slave’ generalized predictive synchronization control (MS-GPSC) method with ‘Mr. Slowest’ strategy for preheating stage of MCHR system. The core of the proposed method is choosing the heating process with slowest dynamics as the ‘Master’ to track the setpoint, while the other heating processes are treated as ‘Slaves’ tracking the output of ‘Master’. This proposed method is shown to have the good ability of temperature synchronization. The corresponding analysis is conducted on parameters tuning and stability, simulations and experiments show the strategy is effective.

Key words: Process control, Thermodynamics process, Model-predictive control, Multi-cavity hot runner system, Master-Slave synchronization, Mr. Slowest

摘要: As a key component of injection molding, multi-cavity hot runner (MCHR) system faces the crucial problem of polymer melt filling imbalance among the cavities. The thermal imbalance in the system has been considered as the leading cause. Hence, the solution may rest with the synchronization of those heating processes in MCHR system. This paper proposes a ‘Master-Slave’ generalized predictive synchronization control (MS-GPSC) method with ‘Mr. Slowest’ strategy for preheating stage of MCHR system. The core of the proposed method is choosing the heating process with slowest dynamics as the ‘Master’ to track the setpoint, while the other heating processes are treated as ‘Slaves’ tracking the output of ‘Master’. This proposed method is shown to have the good ability of temperature synchronization. The corresponding analysis is conducted on parameters tuning and stability, simulations and experiments show the strategy is effective.

关键词: Process control, Thermodynamics process, Model-predictive control, Multi-cavity hot runner system, Master-Slave synchronization, Mr. Slowest