The Resource Advanced Practical Process Control, by Brian Roffel, Ben Betlem, (electronic resource)

Advanced Practical Process Control, by Brian Roffel, Ben Betlem, (electronic resource)

Label
Advanced Practical Process Control
Title
Advanced Practical Process Control
Statement of responsibility
by Brian Roffel, Ben Betlem
Creator
Contributor
Author
Author
Subject
Language
  • eng
  • eng
Summary
This text and reference offers an application-oriented approach to process control. It systematically explains process identification, control and optimization, the three key steps needed to solve a multivariable control problem. Theory is discussed as far as it is needed to understand and solve the defined problem, while numerous examples written in MATLAB illustrate the problem-solving approach
Member of
http://library.link/vocab/creatorName
Roffel, Brian
Dewey number
629.8
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • 94AYcHV44Ro
  • cfygbHI6GJs
Image bit depth
0
Language note
English
LC call number
TK1-9971
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Betlem, Ben.
Series statement
Advances in soft computing Advanced practical process control
http://library.link/vocab/subjectName
  • Telecommunication
  • Chemical engineering
  • Engineering
  • Vibration
  • Communications Engineering, Networks
  • Control, Robotics, Mechatronics
  • Industrial Chemistry/Chemical Engineering
  • Computational Intelligence
  • Vibration, Dynamical Systems, Control
Label
Advanced Practical Process Control, by Brian Roffel, Ben Betlem, (electronic resource)
Instantiates
Publication
Note
Bibliographic Level Mode of Issuance: Monograph
Antecedent source
mixed
Bibliography note
Includes bibliographical references at the end of each chapters and index
Carrier category
online resource
Carrier category code
cr
Color
not applicable
Content category
text
Content type code
txt
Contents
1 Introduction to Advanced Process Control Concepts -- 1.1 Process Time Constant -- 1.2 Domain Transformations -- 1.3 Laplace Transformation -- 1.4 Discrete Approximations -- 1.5 z-Transforms -- 1.6 Advanced and Modified z-Transforms -- 1.7 Common Elements in Control -- 1.8 The Smith Predictor -- 1.9 Feed-forward Control -- 1.10 Feed-forward Control in a Smith Predictor -- 1.11 Dahlin’s Control Algorithm -- References -- 2 Process Simulation -- 2.1 Simulation using Matlab Simulink -- 2.2 Simulation of Feed-forward Control -- 2.3 Control Simulation of a 2x2 System -- 2.4 Simulation of Dahlin’s Control Algorithm -- 3 Process Modeling and Identification -- 3.1 Model Applications -- 3.2 Types of Models -- 3.3 Empirical (linear) Dynamic Models -- 3.4 Model Structure Considerations -- 3.5 Model Identification -- References -- 4 Identification Examples -- 4.1 SISO Furnace Parametric Model Identification -- 4.2 MISO Parametric Model Identification -- 4.3 MISO Non-parametric Identification of a Non-integrating Process -- 4.4 MIMO Identification of an Integrating and Non-integrating Process -- 4.5 Design of Plant Experiments -- 4.5.1 Nature of Input Sequence -- 4.5.2 PRBS Type Input -- 4.5.3 Step Type Input -- 4.5.4 Type of Experiment -- 4.6 Data File Layout -- 4.7 Conversion of Model Structures -- 4.8 Example and Comparison of Open and Closed Loop Identification -- References -- 5 Linear Multivariable Control -- 5.1 Interaction in Multivariable Systems -- 5.2 Dynamic Matrix Control -- 5.3 Properties of Commercial MPC Packages -- References -- 6 Multivariable Optimal Constraint Control Algorithm -- 6.1 General Overview -- 6.2 Model Formulation for Systems with Dead Time -- 6.3 Model Formulation for Multivariable Processes -- 6.4 Model Formulation for Multivariable Processes with Time Delays -- 6.5 Model Formulation in Case of a Limited Control Horizon -- 6.6 Mocca Control Formulation -- 6.7 Non-linear Transformations -- 6.8 Practical Implementation Guidelines -- 6.9 Case Study -- 6.10 Control of a Fluidized Catalytic Cracker -- 6.11 Examples of Case Studies in MATLAB -- 6.12 Control of Integrating Processes -- 6.13 Lab Exercises -- 6.14 Use of MCPC for Constrained Multivariable Control -- References -- 7 Internal Model Control -- 7.1 Introduction -- 7.2 Factorization of Multiple Delays -- 7.3 Filter Design -- 7.4 Feed-forward IMC -- 7.5 Example of Controller Design -- 7.6 LQ Optimal Inverse Design -- References -- 8 Nonlinear Multivariable Control -- 8.1 Non-linear Model Predictive Control -- 8.2 Non-linear Quadratic DMC -- 8.3 Generic Model Control -- 8.4 Problem Description -- 8.5 GMC Application to the CSTR System -- 8.6 Discussion of the GMC Algorithm -- 8.7 Simulation of Reactor Control -- 8.8 One Step Reference Trajectory Control -- 8.9 Predictive Horizon Reference Trajectory Control -- References -- 9 Optimization of Process Operation -- 9.1 Introduction to Real-time Optimization -- 9.2 Model Building -- 9.3 The Objective Function -- 9.4 Unconstrained Functions: one Dimensional Problems -- 9.5 Unconstrained Multivariable Optimization -- 9.6 Linear Programming -- 9.7 Non-linear Programming -- References -- 10 Optimization Examples -- 10.1 AMPL: a Multi-purpose Optimizer -- 10.2 Optimization Examples -- References -- 11 Integration of Control and Optimization -- 11.1 Introduction -- 11.2 Description of the Desalination Plant -- 11.3 Production Maximization of Desalination Plant -- 11.4 Linear Model Predictive Control of Desalination Plant -- 11.5 Reactor problem definition -- 11.6 Multivariable Non-linear Control of the Reactor -- References -- Appendix I. MCPC software guide -- I.1 Installation -- I.2 Model identification -- I.2.1 General process information -- I.2.2 Identification data -- I.2.3 Output details -- I.3 Controller design -- I.4 Control simulation -- I.5 Dealing with constraints -- I.6 Saving a project -- Appendix II. Comparison of control strategies for a hollow shaft reactor -- II.1 Introduction -- II.2 Model Equations -- II.3 Proportional Integral Control -- II.4 Linear Multivariable Control -- II.5 Non-linear Multivariable Control -- References
Dimensions
unknown
Edition
1st ed. 2004.
Extent
1 online resource (IX, 309 p.)
File format
multiple file formats
Form of item
online
Isbn
9783642182587
Level of compression
uncompressed
Media category
computer
Media type code
c
Other control number
10.1007/978-3-642-18258-7
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)3400000000102538
  • (SSID)ssj0000805001
  • (PQKBManifestationID)12279506
  • (PQKBTitleCode)TC0000805001
  • (PQKBWorkID)10823682
  • (PQKB)11688298
  • (DE-He213)978-3-642-18258-7
  • (MiAaPQ)EBC3088981
  • (EXLCZ)993400000000102538
Label
Advanced Practical Process Control, by Brian Roffel, Ben Betlem, (electronic resource)
Publication
Note
Bibliographic Level Mode of Issuance: Monograph
Antecedent source
mixed
Bibliography note
Includes bibliographical references at the end of each chapters and index
Carrier category
online resource
Carrier category code
cr
Color
not applicable
Content category
text
Content type code
txt
Contents
1 Introduction to Advanced Process Control Concepts -- 1.1 Process Time Constant -- 1.2 Domain Transformations -- 1.3 Laplace Transformation -- 1.4 Discrete Approximations -- 1.5 z-Transforms -- 1.6 Advanced and Modified z-Transforms -- 1.7 Common Elements in Control -- 1.8 The Smith Predictor -- 1.9 Feed-forward Control -- 1.10 Feed-forward Control in a Smith Predictor -- 1.11 Dahlin’s Control Algorithm -- References -- 2 Process Simulation -- 2.1 Simulation using Matlab Simulink -- 2.2 Simulation of Feed-forward Control -- 2.3 Control Simulation of a 2x2 System -- 2.4 Simulation of Dahlin’s Control Algorithm -- 3 Process Modeling and Identification -- 3.1 Model Applications -- 3.2 Types of Models -- 3.3 Empirical (linear) Dynamic Models -- 3.4 Model Structure Considerations -- 3.5 Model Identification -- References -- 4 Identification Examples -- 4.1 SISO Furnace Parametric Model Identification -- 4.2 MISO Parametric Model Identification -- 4.3 MISO Non-parametric Identification of a Non-integrating Process -- 4.4 MIMO Identification of an Integrating and Non-integrating Process -- 4.5 Design of Plant Experiments -- 4.5.1 Nature of Input Sequence -- 4.5.2 PRBS Type Input -- 4.5.3 Step Type Input -- 4.5.4 Type of Experiment -- 4.6 Data File Layout -- 4.7 Conversion of Model Structures -- 4.8 Example and Comparison of Open and Closed Loop Identification -- References -- 5 Linear Multivariable Control -- 5.1 Interaction in Multivariable Systems -- 5.2 Dynamic Matrix Control -- 5.3 Properties of Commercial MPC Packages -- References -- 6 Multivariable Optimal Constraint Control Algorithm -- 6.1 General Overview -- 6.2 Model Formulation for Systems with Dead Time -- 6.3 Model Formulation for Multivariable Processes -- 6.4 Model Formulation for Multivariable Processes with Time Delays -- 6.5 Model Formulation in Case of a Limited Control Horizon -- 6.6 Mocca Control Formulation -- 6.7 Non-linear Transformations -- 6.8 Practical Implementation Guidelines -- 6.9 Case Study -- 6.10 Control of a Fluidized Catalytic Cracker -- 6.11 Examples of Case Studies in MATLAB -- 6.12 Control of Integrating Processes -- 6.13 Lab Exercises -- 6.14 Use of MCPC for Constrained Multivariable Control -- References -- 7 Internal Model Control -- 7.1 Introduction -- 7.2 Factorization of Multiple Delays -- 7.3 Filter Design -- 7.4 Feed-forward IMC -- 7.5 Example of Controller Design -- 7.6 LQ Optimal Inverse Design -- References -- 8 Nonlinear Multivariable Control -- 8.1 Non-linear Model Predictive Control -- 8.2 Non-linear Quadratic DMC -- 8.3 Generic Model Control -- 8.4 Problem Description -- 8.5 GMC Application to the CSTR System -- 8.6 Discussion of the GMC Algorithm -- 8.7 Simulation of Reactor Control -- 8.8 One Step Reference Trajectory Control -- 8.9 Predictive Horizon Reference Trajectory Control -- References -- 9 Optimization of Process Operation -- 9.1 Introduction to Real-time Optimization -- 9.2 Model Building -- 9.3 The Objective Function -- 9.4 Unconstrained Functions: one Dimensional Problems -- 9.5 Unconstrained Multivariable Optimization -- 9.6 Linear Programming -- 9.7 Non-linear Programming -- References -- 10 Optimization Examples -- 10.1 AMPL: a Multi-purpose Optimizer -- 10.2 Optimization Examples -- References -- 11 Integration of Control and Optimization -- 11.1 Introduction -- 11.2 Description of the Desalination Plant -- 11.3 Production Maximization of Desalination Plant -- 11.4 Linear Model Predictive Control of Desalination Plant -- 11.5 Reactor problem definition -- 11.6 Multivariable Non-linear Control of the Reactor -- References -- Appendix I. MCPC software guide -- I.1 Installation -- I.2 Model identification -- I.2.1 General process information -- I.2.2 Identification data -- I.2.3 Output details -- I.3 Controller design -- I.4 Control simulation -- I.5 Dealing with constraints -- I.6 Saving a project -- Appendix II. Comparison of control strategies for a hollow shaft reactor -- II.1 Introduction -- II.2 Model Equations -- II.3 Proportional Integral Control -- II.4 Linear Multivariable Control -- II.5 Non-linear Multivariable Control -- References
Dimensions
unknown
Edition
1st ed. 2004.
Extent
1 online resource (IX, 309 p.)
File format
multiple file formats
Form of item
online
Isbn
9783642182587
Level of compression
uncompressed
Media category
computer
Media type code
c
Other control number
10.1007/978-3-642-18258-7
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)3400000000102538
  • (SSID)ssj0000805001
  • (PQKBManifestationID)12279506
  • (PQKBTitleCode)TC0000805001
  • (PQKBWorkID)10823682
  • (PQKB)11688298
  • (DE-He213)978-3-642-18258-7
  • (MiAaPQ)EBC3088981
  • (EXLCZ)993400000000102538

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