株式会社極東書店トップ商品一覧PID Controller Tuning Using the Magnitude Optimum Criterion. Softcover reprint of the original 1st ed. 2015

商品詳細

PID Controller Tuning Using the Magnitude Optimum Criterion. Softcover reprint of the original 1st ed. 2015

PID Controller Tuning Using the Magnitude Optimum Criterion. Softcover reprint of the original 1st ed. 2015

・ISBN 978-3-319-34860-5 paper EUR 121.48

¥32,470.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
著者・編者G. Papadopoulos, Konstantinos,
出版社 (Springer International Publishing AG, SZ)
出版年月2016
ページ数296 pp.
言語ENG
ニュース番号<A05-48211>

解説

An instructive reference that will help control researchers and engineers, interested in a variety of industrial processes, to take advantage of a powerful tuning method for the ever-popular PID control paradigm.

This monograph presents explicit PID tuning rules for linear control loops regardless of process complexity. It shows the reader how such loops achieve zero steady-position, velocity, and acceleration errors and are thus able to track fast reference signals. The theoretical development takes place in the frequency domain by introducing a general-transfer-function-known process model and by exploiting the principle of the magnitude optimum criterion. It is paralleled by the presentation of real industrial control loops used in electric motor drives. The application of the proposed tuning rules to a large class of processes shows that irrespective of the complexity of the controlled process the shape of the step and frequency response of the control loop exhibits a specific performance. This specific performance, along with the PID explicit solution, formulates the basis for developing an automatic tuning method for the PID controller parameters which is a problem often met in many industry applications-temperature, pH, and humidity control, ratio control in product blending, and boiler-drum level control, for example. The process of the model is considered unknown and controller parameters are tuned automatically such that the aforementioned performance is achieved. The potential both for the explicit tuning rules and the automatic tuning method is demonstrated using several examples for benchmark process models recurring frequently in many industry applications.