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Advanced Control for a Chemical Process

Pornsiri Kaewpradit

Published by LAP LAMBERT Academic Publishing
ISBN 10: 3659188646 / ISBN 13: 9783659188640
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Bibliographic Details


Title: Advanced Control for a Chemical Process

Publisher: LAP LAMBERT Academic Publishing

Binding: Paperback

Book Condition: New

Book Type: Paperback

Description:

Paperback. 172 pages. Dimensions: 8.6in. x 5.9in. x 0.5in.Process measurements are taken in chemical plants for the purpose of evaluating process control or process performance. However, not all variables needed are generally measured due to technical infeasibility or cost. Furthermore, the measurements are often contaminated in the sense that random noise may be present due to result of miscalibration or failure of the measuring instruments. In this book, the benefits of combining dynamic data reconciliation (DDR) with Generic Model Control (GMC) are demonstrated on two example chemical processes. DDR is used preliminary to reconcile and estimate measured and unmeasured data required for evaluating process control or process performance. In the case studies, the robustness of the proposed control strategy is investigated with respect to changes in process condition, modeling error and disturbance variable for both set point regulation and set point tracking. The results show that a rudimentary treatment of measurement errors and an estimation of unknown quantities have proved extremely effective. Therefore, DDR approach is an important adjunct to advanced control. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783659188640

About this title:

Synopsis: Process measurements are taken in chemical plants for the purpose of evaluating process control or process performance. However, not all variables needed are generally measured due to technical infeasibility or cost. Furthermore, the measurements are often contaminated in the sense that random noise may be present due to result of miscalibration or failure of the measuring instruments. In this book, the benefits of combining dynamic data reconciliation (DDR) with Generic Model Control (GMC) are demonstrated on two example chemical processes. DDR is used preliminary to reconcile and estimate measured and unmeasured data required for evaluating process control or process performance. In the case studies, the robustness of the proposed control strategy is investigated with respect to changes in process condition, modeling error and disturbance variable for both set point regulation and set point tracking. The results show that a rudimentary treatment of measurement errors and an estimation of unknown quantities have proved extremely effective. Therefore, DDR approach is an important adjunct to advanced control.

About the Author: P. Kaewpradit is a lecturer at a Discipline of Excellence (DoE) in Chemical Engineering, Prince of Songkla University, Thailand since 2008 till now. Her professional experience is in a field of advanced control and optimization design. She is also interested in process modeling/simulation in natural rubber and palm oil.

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