Industrial Process Identification and Control Design : Step-test and Relay-experiment-based Methods

  Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice.   The simple and practical step- or relay-feedback test i...

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מידע ביבליוגרפי
Auteurs principaux: Liu, Tao, 19..-, Gao, Furong (Auteur)
פורמט: Livre numérique
שפה:Anglais
יצא לאור: London : Springer London 2012.
Cham : Springer Nature
סדרה:Advances in Industrial Control
גישה מקוונת:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
הערה: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Industrial Process Identification and Control Design, Texte imprimé, 9781447160168
• Industrial Process Identification and Control Design, Texte imprimé, 9780857299789
• Industrial Process Identification and Control Design, Texte imprimé, 9780857299765
תיאור
סיכום:  Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice.   The simple and practical step- or relay-feedback test is employed when applying the proposed identification techniques, which are classified in terms of common industrial process type: open-loop stable; integrating; and unstable, respectively. Correspondingly, control system design and tuning models that follow are presented for single-input-single-output processes.   Furthermore, new two-degree-of-freedom control strategies and cascade control system design methods are explored with reference to independently-improving, set-point tracking and load disturbance rejection. Decoupling, multi-loop, and decentralized control techniques for the operation of multiple-input-multiple-output processes are also detailed. Perfect tracking of a desire output trajectory is realized using iterative learning control in uncertain industrial batch processes.   All the proposed methods are presented in an easy-to-follow style, illustrated by examples and practical applications. This book will be valuable for researchers in system identification and control theory, and will also be of interest to graduate control students from process, chemical, and electrical engineering backgrounds and to practising control engineers in the process industry.  .
תאור פריט:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9780857299772
ISSN:2193-1577
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