Temperature control of a mold model using multiple-input multiple-output two degree-of-freedom generalized predictive control

Naoki Hosoya; Akira Yanou; Mamoru Minami; Takayuki Matsuno

doi:10.1109/ASCC.2015.7244507

Temperature control of a mold model using multiple-input multiple-output two degree-of-freedom generalized predictive control

Naoki Hosoya, Akira Yanou, Mamoru Minami, Takayuki Matsuno

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This paper considers an application of two degree-of-freedom generalized predictive control (Two DOF GPC) to an aluminum mold model of temperature control experimental device. In our research, Two DOF GPC can achieve to design the output response for the aluminum plate model independently of modeling error or disturbance. The present study aims at controlling the temperature for various mold models in order to develop the proposed method for application to industry. Therefore, this paper shows an aluminum mold model, which we newly constructed, for temperature control by extending the conventional model. And we increased the number of input and output to examine the interference of heat with temperature control of the derived model by using two DOF GPC. The numerical examples are shown to verify the validity of the model and the proposed method.

Original language	English
Title of host publication	2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781479978625
DOIs	https://doi.org/10.1109/ASCC.2015.7244507
Publication status	Published - Sep 8 2015
Event	10th Asian Control Conference, ASCC 2015 - Kota Kinabalu, Malaysia Duration: May 31 2015 → Jun 3 2015

Other

Other	10th Asian Control Conference, ASCC 2015
Country/Territory	Malaysia
City	Kota Kinabalu
Period	5/31/15 → 6/3/15

ASJC Scopus subject areas

Control and Systems Engineering

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10.1109/ASCC.2015.7244507

Cite this

Hosoya, N., Yanou, A., Minami, M., & Matsuno, T. (2015). Temperature control of a mold model using multiple-input multiple-output two degree-of-freedom generalized predictive control. In 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015 [7244507] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASCC.2015.7244507

Temperature control of a mold model using multiple-input multiple-output two degree-of-freedom generalized predictive control. / Hosoya, Naoki; Yanou, Akira; Minami, Mamoru ; Matsuno, Takayuki.

2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7244507.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hosoya, N, Yanou, A, Minami, M & Matsuno, T 2015, Temperature control of a mold model using multiple-input multiple-output two degree-of-freedom generalized predictive control. in 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015., 7244507, Institute of Electrical and Electronics Engineers Inc., 10th Asian Control Conference, ASCC 2015, Kota Kinabalu, Malaysia, 5/31/15. https://doi.org/10.1109/ASCC.2015.7244507

Hosoya N, Yanou A, Minami M , Matsuno T. Temperature control of a mold model using multiple-input multiple-output two degree-of-freedom generalized predictive control. In 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7244507 https://doi.org/10.1109/ASCC.2015.7244507

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abstract = "This paper considers an application of two degree-of-freedom generalized predictive control (Two DOF GPC) to an aluminum mold model of temperature control experimental device. In our research, Two DOF GPC can achieve to design the output response for the aluminum plate model independently of modeling error or disturbance. The present study aims at controlling the temperature for various mold models in order to develop the proposed method for application to industry. Therefore, this paper shows an aluminum mold model, which we newly constructed, for temperature control by extending the conventional model. And we increased the number of input and output to examine the interference of heat with temperature control of the derived model by using two DOF GPC. The numerical examples are shown to verify the validity of the model and the proposed method.",

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N2 - This paper considers an application of two degree-of-freedom generalized predictive control (Two DOF GPC) to an aluminum mold model of temperature control experimental device. In our research, Two DOF GPC can achieve to design the output response for the aluminum plate model independently of modeling error or disturbance. The present study aims at controlling the temperature for various mold models in order to develop the proposed method for application to industry. Therefore, this paper shows an aluminum mold model, which we newly constructed, for temperature control by extending the conventional model. And we increased the number of input and output to examine the interference of heat with temperature control of the derived model by using two DOF GPC. The numerical examples are shown to verify the validity of the model and the proposed method.

AB - This paper considers an application of two degree-of-freedom generalized predictive control (Two DOF GPC) to an aluminum mold model of temperature control experimental device. In our research, Two DOF GPC can achieve to design the output response for the aluminum plate model independently of modeling error or disturbance. The present study aims at controlling the temperature for various mold models in order to develop the proposed method for application to industry. Therefore, this paper shows an aluminum mold model, which we newly constructed, for temperature control by extending the conventional model. And we increased the number of input and output to examine the interference of heat with temperature control of the derived model by using two DOF GPC. The numerical examples are shown to verify the validity of the model and the proposed method.

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Temperature control of a mold model using multiple-input multiple-output two degree-of-freedom generalized predictive control

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