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Genetic Algorithm for Decentralized PI Controller Tuning of a Multi-Span Web Transport System Based on Overlapping Decomposition
http://hdl.handle.net/10228/00006550
http://hdl.handle.net/10228/00006550ab4446b8-f9c8-4689-8abf-21f49eccdb3b
名前 / ファイル | ライセンス | アクション |
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10310029.pdf (2.3 MB)
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Item type | 会議発表論文 = Conference Paper(1) | |||||
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公開日 | 2018-02-08 | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
資源タイプ | conference paper | |||||
タイトル | ||||||
タイトル | Genetic Algorithm for Decentralized PI Controller Tuning of a Multi-Span Web Transport System Based on Overlapping Decomposition | |||||
言語 | ||||||
言語 | eng | |||||
著者 |
Giannoccaro, Nicola Ivan
× Giannoccaro, Nicola Ivan× Manieri, Giancarlo× Martina, Paolo× 坂本, 哲三 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | The use of multi-span web transport systems often requires dedicating a particular effort for defining a control system able to protect the integrity of the web. In web handling processes there is a clear need for controlling web velocity and tension. As for any control problem, the best results are achieved when there is a clear understanding of the controlled process. Starting from a new mathematical model called Transfer Matrix Model for a more accurate description of a web transport system, an optimization study for identifying parameters of the PI controllers for a decentralized multiinput and multi-output system (MIMO) has been proposed. The possibility of using PI controllers for each section is attractive considering that an overlapping system decomposition may permit to take into account the mutual interaction of the neighbor sections reaching specified performance objectives. Finally, by using a nonlinear interpolation of the trend of a preliminary database of values obtained through genetic algorithm, a self-tuning strategy is proposed to estimate optimal PI parameters under certain conditions, avoiding the long identification process and making the system flexible and adaptive. Simulations and experimental results validate and illustrate the effectiveness and the simplicity of the proposed method by considering several different set-points. | |||||
備考 | ||||||
内容記述タイプ | Other | |||||
内容記述 | The 2017 Asian Control Conference -ASCC 2017, December 17-20, 2017, Gold Coast Convention Centre, Australia | |||||
ISBN | ||||||
識別子タイプ | ISBN | |||||
関連識別子 | 978-1-5090-1572-6 | |||||
著作権関連情報 | ||||||
権利情報 | IEEE | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Adaptive Control and Tuning | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Decentralized Control | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Control Applications | |||||
出版タイプ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
査読の有無 | ||||||
値 | yes | |||||
研究者情報 | ||||||
https://hyokadb02.jimu.kyutech.ac.jp/html/7_ja.html | ||||||
論文ID(連携) | ||||||
10310029 | ||||||
連携ID | ||||||
6653 | ||||||
著者所属 | ||||||
Department of Innovation Engineering, University of Salento | ||||||
著者所属 | ||||||
Department of Innovation Engineering, University of Salento | ||||||
著者所属 | ||||||
Department of Innovation Engineering, University of Salento | ||||||
著者所属 | ||||||
Department of Control Engineering, Kyushu Institute of Technology | ||||||
資料タイプ | ||||||
内容記述タイプ | Other | |||||
内容記述 | Conference Paper |