A Direct Estimation Method of Second Order Plus Time Delay Model Parameters for PID Controller Autotuning
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概要
- 論文の詳細を見る
In this paper, we propose an identification method to estimate the second order plus time delay (SOPTD) model parameters. The proposed method obtains the parameters of the SOPTD model directly using a time weighted integral transform and a least square method, so model reduction steps can be avoided to tune the PID controller. It can also be applied regardless of the initial states while almost all previous identification methods require the assumption of zero initial states. Through extensive simulations, it is proved clearly that the proposed method gives acceptable estimation performances whether initial states are zero or not. Moreover, it shows an acceptable robustness to the disturbances and measurement noise.
- 社団法人 化学工学会の論文
著者
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Park Jin
Department of Internal Medicine, Sejong General Hospital
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Chung Kyung
Department Of Chemical Engineering Automation Research Center Pohang University Of Science And Techn
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Park Jin
Department Of Biochemistry Medical School Chonbuk National University
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Lee I‐b
Pohang Univ. Sci. And Technol. Pohang Kor
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KWAK Hee
Department of Chemical Engineering, Automation Research Center, Pohang University of Science and Tec
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WHAN SUNG
Department of Chemical Engineering, Automation Research Center, Pohang University of Science and Tec
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LEE In-Beum
Department of Chemical Engineering, Automation Research Center, Pohang University of Science and Tec
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Lee In-beum
Department Of Chemical Engineering Pohang University Of Science And Technology
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Kwak Hee
Department Of Chemical Engineering Automation Research Center Pohang University Of Science And Techn
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Lee In-beum
Department Of Chemical Engineering Pohang University Of Science & Technology
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Sung S
Department Of Chemical Engineering Automation Research Center Pohang University Of Science And Techn
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Park Jin
Department Of Anatomy Ajou University School Of Medicine
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Sung Su
Department Of Chemical Engineering Kyungpook National University
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Park Jin
Department Of Environmental Science Hallym University
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Park Jin
Department of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Gyeonggi 440-746, Republic of Korea
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