In this paper, very simple method based on Prony method, which is known as one of the most representative methods in the exponential analysis method, is presented by which transfer function models for processes can easily be obtained. Here, the method is reformed and applied to obtain the so-called 3 parameter model (first-order transfer function with pure time delay model) from the data of the step response of the process system. The method gives different process models by changing the identification interval. Here the relation between the accuracy of identification and identification interval is considered from the viewpoint of integrated absolute error and integrated squared error. The obtained results are examined by applying it to the design of model-driven PID control of a typical test batch process model.
雑誌名
日本機械学會論文集. C編
巻
71
号
702
ページ
589 - 596
発行年
2005-02-25
書誌レコードID
AN00187463
権利
社団法人 日本機械学会
情報源(ISSN)
03875024
フォーマット
application/pdf
形態
632106 bytes
著者版フラグ
publisher
日本十進分類法
530
その他の言語のタイトル
Accuracy of Identification and Control Performance in 3 Parameter Process Model Approximations : Identification by Prony's Method and Examination through Model-Driven PID Control System Design