Limited Rolling Time Domain-Based Hybrid Tracking Control for Injection Molding Process

In this paper, a limited rolling time domain-based hybrid tracking control method for injection and packing-holding phase in the injection molding process is proposed. A more flexible controller is designed by adding the adjustable weighting coefficient. First, the input and output models in differe...

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Main Authors: Jingxian Yu, Qiyuan Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8718618/
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spelling doaj-a99c2f8ba91343a1bdc8b8c93a46ef012021-03-29T23:27:09ZengIEEEIEEE Access2169-35362019-01-017674466745510.1109/ACCESS.2019.29180208718618Limited Rolling Time Domain-Based Hybrid Tracking Control for Injection Molding ProcessJingxian Yu0https://orcid.org/0000-0002-2383-1128Qiyuan Zhang1School of Science, Liaoning Shihua University, Fushun, ChinaSchool of Information and Control Engineering, Liaoning Shihua University, Fushun, ChinaIn this paper, a limited rolling time domain-based hybrid tracking control method for injection and packing-holding phase in the injection molding process is proposed. A more flexible controller is designed by adding the adjustable weighting coefficient. First, the input and output models in different phases are established based on the collected input and output data, then, the appropriate state variables are selected to establish a multi-phase state space model. In addition, then, the above model is transformed into an extended state space model containing state variables and output tracking errors, which is transformed into a switched system model. Meanwhile, the performance indicators including the terminal state are selected for different phases, and the optimal hybrid control law is obtained by combining the Riccati equation and the boundary condition. In order to find the minimum run time of each phase for different phases, the dwell time method that depends on the Lyapunov function is designed. The method is simple in design and can improve production efficiency. Finally, the feasibility and effectiveness of the proposed method are verified by modeling and simulating the injection molding process and comparing with the traditional methods.https://ieeexplore.ieee.org/document/8718618/Injection molding processRiccati equationswitched systemdwell time
collection DOAJ
language English
format Article
sources DOAJ
author Jingxian Yu
Qiyuan Zhang
spellingShingle Jingxian Yu
Qiyuan Zhang
Limited Rolling Time Domain-Based Hybrid Tracking Control for Injection Molding Process
IEEE Access
Injection molding process
Riccati equation
switched system
dwell time
author_facet Jingxian Yu
Qiyuan Zhang
author_sort Jingxian Yu
title Limited Rolling Time Domain-Based Hybrid Tracking Control for Injection Molding Process
title_short Limited Rolling Time Domain-Based Hybrid Tracking Control for Injection Molding Process
title_full Limited Rolling Time Domain-Based Hybrid Tracking Control for Injection Molding Process
title_fullStr Limited Rolling Time Domain-Based Hybrid Tracking Control for Injection Molding Process
title_full_unstemmed Limited Rolling Time Domain-Based Hybrid Tracking Control for Injection Molding Process
title_sort limited rolling time domain-based hybrid tracking control for injection molding process
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description In this paper, a limited rolling time domain-based hybrid tracking control method for injection and packing-holding phase in the injection molding process is proposed. A more flexible controller is designed by adding the adjustable weighting coefficient. First, the input and output models in different phases are established based on the collected input and output data, then, the appropriate state variables are selected to establish a multi-phase state space model. In addition, then, the above model is transformed into an extended state space model containing state variables and output tracking errors, which is transformed into a switched system model. Meanwhile, the performance indicators including the terminal state are selected for different phases, and the optimal hybrid control law is obtained by combining the Riccati equation and the boundary condition. In order to find the minimum run time of each phase for different phases, the dwell time method that depends on the Lyapunov function is designed. The method is simple in design and can improve production efficiency. Finally, the feasibility and effectiveness of the proposed method are verified by modeling and simulating the injection molding process and comparing with the traditional methods.
topic Injection molding process
Riccati equation
switched system
dwell time
url https://ieeexplore.ieee.org/document/8718618/
work_keys_str_mv AT jingxianyu limitedrollingtimedomainbasedhybridtrackingcontrolforinjectionmoldingprocess
AT qiyuanzhang limitedrollingtimedomainbasedhybridtrackingcontrolforinjectionmoldingprocess
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