Optimal Manipulation Mixing Optimization Control Method for Injection Speed During Injection Molding Process

REN Zhigang; WU Guoshen; WU Zongze

doi:10.11999/JEIT211419

Volume 44 Issue 5

May 2022

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REN Zhigang, WU Guoshen, WU Zongze. Optimal Manipulation Mixing Optimization Control Method for Injection Speed During Injection Molding Process[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1664-1673. doi: 10.11999/JEIT211419

Citation:

REN Zhigang, WU Guoshen, WU Zongze. Optimal Manipulation Mixing Optimization Control Method for Injection Speed During Injection Molding Process[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1664-1673. doi: 10.11999/JEIT211419

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Optimal Manipulation Mixing Optimization Control Method for Injection Speed During Injection Molding Process

doi: 10.11999/JEIT211419

1.
School of Automation, Guangdong University of Technology, Guangzhou 510006, China
2.
Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing, Guangdong University of Technology, Guangzhou 510006, China

Funds: The Key-Area Research and Development Program of Guangdong Province (2021B0101200005), The National Natural Science Foundation of China (62073088, U1911401), Guangdong Basic and Applied Basic Research Foundation (2019A1515011606)

Received Date: 2021-12-01
Rev Recd Date: 2022-04-15

Available Online: 2022-04-25

Publish Date: 2022-05-25

Abstract

Abstract

In the process of injection molding, the injection speed control is one of the important aspects, and it is important to achieve fast and reliable optimal control of the injection speed for the efficient production of injection molded products. In this paper, an efficient hybrid intelligent optimal control method based on the combination of control parameterization and particle swarm optimization is proposed, and an open-loop optimal controller and a state feedback optimal controller are designed and implemented, respectively. The controller design problem is transformed into a sequence of optimal parameter selection problems to achieve an efficient solution for the desired injection speed tracking control in a given time. Finally, the feasibility and effectiveness of the proposed hybrid optimal control algorithm for solving the dynamic optimization problem of the injection speed in the injection molding process are verified by experimental simulation results.
- Industrial process,
- Control parameterization,
- Optimization and control,
- Particle Swarm Optimization (PSO),
- Injection molding

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References(26)

References

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