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Process modeling, simulation, and control for chemical engineers / William Luyben.

By: Luyben, William L [autor].
Publisher: India McGraw-Hill ©2014Edition: 2nd. Edition.Description: xxiii, 725 pages. illustrations, figures, tables. 23 cm.Content type: Media type: Carrier type: ISBN: 97893332901681.Subject(s): Ingeniería química | Modelos matemáticos | Control de procesos químicosDDC classification: 660.281
Contents:
Introduction. - - I Mathematical Models of Chemical Engineering Systems. - - Fundamentals. - - Examples of Mathematical Models of Chemical Engineering Systems. - - Computer Simulation. - - Numerical Methods. - - Simulation Examples. - - Time Domain Dynamics and Control. - - Time Domain Dynamics. - - Conventional Control Systems and Hardware. - - Advanced Control Systems. - - Laplace Domain Dynamics and Control. - - Laplace Domain Dynamics. - - Laplace Domain Analysis of Conventional Feedback Control Systems. - - Laplace Domain Analysis of Advanced Control Systems. - - Frequency Domain Dynamics and Control. - - Frequency Domain Dynamics. - - Frequency Domain Analysis of Closed Loop Systems. - - Identification. - - Multivariable Processes. - - Matrix Properties and State variables. - - Analysis of Multivariable System. - - Design Controllers for Multivariable Processes. - - Sampled-Data Control Systems. - - Sampling and Z Transforms. - - Stability Analysis of Sampled-Data Systems. - - Design of Digital Compensators.
Summary: 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 also covered.
List(s) this item appears in: Ingeniería Química
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Item type Current location Collection Call number Vol info Copy number Status Date due Barcode Item holds
Book Book B. Campus los Cerros
Colección general
Colección general 660.281 L979 (Browse shelf) 2nd. Edition. 2014 1 Checked out 08/17/2018 0000056099
Book Book B. Campus los Cerros
En carrito para ordenar en estante
Colección general 660.281 L979 (Browse shelf) 2nd. Edition. 2014 2 Available 0000056100
Book Book B. Campus los Cerros
Colección general
Colección general 660.281 L979 (Browse shelf) 2nd. Edition. 2014 3 Available 0000056101
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Introduction. - - I Mathematical Models of Chemical Engineering Systems. - - Fundamentals. - - Examples of Mathematical Models of Chemical Engineering Systems. - - Computer Simulation. - - Numerical Methods. - - Simulation Examples. - - Time Domain Dynamics and Control. - - Time Domain Dynamics. - - Conventional Control Systems and Hardware. - - Advanced Control Systems. - - Laplace Domain Dynamics and Control. - - Laplace Domain Dynamics. - - Laplace Domain Analysis of Conventional Feedback Control Systems. - - Laplace Domain Analysis of Advanced Control Systems. - - Frequency Domain Dynamics and Control. - - Frequency Domain Dynamics. - - Frequency Domain Analysis of Closed Loop Systems. - - Identification. - - Multivariable Processes. - - Matrix Properties and State variables. - - Analysis of Multivariable System. - - Design Controllers for Multivariable Processes. - - Sampled-Data Control Systems. - - Sampling and Z Transforms. - - Stability Analysis of Sampled-Data Systems. - - Design of Digital Compensators.

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 also covered.

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