Process modeling, simulation, and control for chemical engineers / William L. Luyben.
By: Luyben, William L
.
Material type:
BookPublisher: New York : McGraw-Hill, 1990Edition: 2nd ed.Description: xxiii, 725 p. : ill. ; 24 cm.ISBN: 0070391599.Subject(s): Chemical processes -- Mathematical models| Item type | Current library | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|
| General lending | MTU Bishopstown Library Lending | 660.281 (Browse shelf(Opens below)) | 1 | Available | 00019887 |
Enhanced descriptions from Syndetics:
The purpose of this book is to convey to undergraduate students an understanding of those areas of process control that all chemical engineers need to know. The presentation is concise, readable and restricted to only essential elements. The methods presented have been successfully applied in industry to solve real problems. Analysis of closedloop dynamics in the time, Laplace, frequency and sample-data domains are covered. Designing simple regulatory control systems for multivariable processes is discussed. The practical aspects of process control are presented sizing control valves, tuning controllers, developing control structures and considering interaction between plant design and control. Practical simple identification methods are covered.
Includes bibliographical references and index.
Introduction -- Part I: Mathematical models of chemical engineering systems -- Fundamentals -- Examples of mathematical models of chemical engineering systems -- Part II: Computer simulation -- Numerical methods -- Simulation examples -- Part III: Time-domain dynamics and control -- Time-domain dynamics -- Conventional control systems and hardware -- Advanced control systems -- Part IV: Laplace-domain dynamics and control -- Laplace-domain dynamics -- Laplace-domain analysis of conventional feedback control systems -- Laplace-domain analysis of advanced control systems -- Part V: Frequency-domain dynamics and control -- Frequency-domain dynamics -- Frequency-domain analysis of closedloop systems -- Process identification -- Part VI: Multivariable processes -- Matrix properties and state variables -- Analysis of multivariable systems -- Design of controllers for multivariable processes -- Part VII: Sampled-data control systems -- Sampling and z transforms -- Stability analysis of sampled-data systems -- Design of digital compensators.