Coulson and Richardson’s Chemical Engineering: Volume 3B: Process Control, Fourth Edition, covers reactor design, flow modeling, and gas-liquid and gas-solid reactions and reactors.
1. Introduction - p. xxv 2. Chapter 1: Introduction - p. xxvi 3. Chapter 2: Hardware Requirements for the Implementation of Process Control Systems - p. 16 4. Chapter 3: Theoretical Process Dynamic Modeling - p. 38 5. Abstract - p. 39 6. 3.1 Detailed Theoretical Dynamic Modeling - p. 39 7. 3.2 Solving an ODE or a Set of ODEs - p. 42 8. 3.3 Examples of Lumped Parameter Systems - p. 46 9. 3.4 Examples of Stage-Wise Systems - p. 72 10. 3.5 Examples of Distributed Parameter Systems - p. 84 11. 3.6 Problems - p. 92 12. Chapter 4: Development of Linear State-Space Models and Transfer Functions for Chemical Processes - p. 94 13. Abstract - p. 95 14. Part A—Theoretical Development of Linear Models - p. 95 15. 4.1 Tools to Develop Continuous Linear State-Space and Transfer Function Dynamic Models - p. 96 16. 4.2 The Basic Procedure to Develop the Transfer Function of SISO and MIMO Systems - p. 117 17. 4.3 Steps to Derive the Transfer Function (T.F.) Models - p. 118 18. 4.4 Transfer Function of Linear Systems - p. 121 19. Part B—The Empirical Approach to Develop Approximate Transfer Functions for Existing Processes - p. 161 20. Chapter 5: Dynamic Behavior and Stability of Closed-Loop Control Systems—Controller Design in the Laplace Domain - p. 180 21. Abstract - p. 181 22. 5.1 The Closed-Loop Transfer Function of a Single-Input, Single-Output (SISO) Feedback Control System - p. 181 23. 5.2 Analysis of a Feedback Control System - p. 183 24. 5.3 The Block Diagram Algebra - p. 188 25. 5.4 The Stability of the Closed-Loop Control Systems - p. 189 26. 5.5 Stability Tests - p. 191 27. 5.6 Design and Tuning of the PID Controllers - p. 199 28. 5.7 Enhanced Feedback and Feedforward Controllers - p. 210 29. 5.8 The Feedforward Controller (FFC) - p. 224 30. 5.9 Control of Multiinput, Multioutput (MIMO) Processes - p. 229 31. 5.10 Problems - p. 236 32. Chapter 6: Digital Sampling, Filtering, and Digital Control - p. 242 33. Abstract - p. 243 34. 6.1 Implementation of Digital Control Systems - p. 244 35. 6.2 Mathematical Representation of a Sampled Signal - p. 245 36. 6.3 z-Transform of a Few Simple Functions - p. 246 37. 6.4 Some Useful Properties of the z-Transform - p. 248 38. 6.5 Inverse z-Transform - p. 249 39. 6.6 Conversion of an Equation From the z-Domain to a Discrete Equation in the Time Domain - p. 250 40. 6.7 Derivation of the Closed-Loop Transfer Function (CLTF) of a Digital Control System - p. 250 41. 6.8 The Closed-Loop Pulse Transfer Function of a Digital Control System - p. 254 42. 6.9 Selection of the Sampling Interval - p. 254 43. 6.10 Filtering - p. 255 44. 6.11 Mapping Between the s-Plane and the z-Plane - p. 255 45. 6.12 Design of Digital Feedback Controllers for SISO Plants - p. 260 46. 6.13 Design of Model-Based SISO Digital Controllers - p. 262 47. 6.14 Design of Feedforward Controllers - p. 278 48. 6.15 Control of Multi-Input, Multi-Output (MIMO) Processes - p. 280 49. Problems - p. 289 50. Chapter 7: Control System Design in the State Space and Frequency Domain - p. 292 51. Abstract - p. 293 52. 7.1 State-Space Representation - p. 293 53. 7.2 Design of Controllers in the State Space - p. 304 54. 7.3 Frequency Response of Linear Systems and the Design of PID Controllers in the Frequency Domain - p. 312 55. 7.4 Problems - p. 330 56. Chapter 8: Modeling and Control of Stochastic Processes - p. 332 57. Abstract - p. 333 58. 8.1 Modeling of Stochastic Processes - p. 333 59. 8.2 Identification of Stochastic Processes - p. 340 60. 8.3 Design of Stochastic Controllers - p. 354 61. 8.4 Problems - p. 364 62. Chapter 9: Model Predictive Control of Chemical Processes: A Tutorial - p. 366 63. Chapter 10: Optimal Control - p. 402 64. Chapter 11: Control and Optimization of Batch Chemical Processes - p. 440 65. Abstract - p. 441 66. Acknowledgments - p. 441 67. 11.1 Introduction - p. 441 68. 11.2 Features of Batch Processes - p. 442 69. 11.3 Models of Batch Processes - p. 444 70. 11.4 Online Control - p. 449 71. 11.5 Run-to-Run Control - p. 454 72. 11.6 Batch Automation - p. 460 73. 11.7 Control Applications - p. 462 74. 11.8 Numerical Optimization - p. 473 75. 11.9 Real-Time Optimization - p. 480 76. 11.10 Optimization Applications - p. 486 77. 11.11 Conclusions - p. 499 78. Chapter 12: Nonlinear Control - p. 503 79. Abstract - p. 505 80. 12.1 Introduction - p. 505 81. 12.2 Some Mathematical Notions Useful in Nonlinear Control - p. 505 82. 12.3 Multivariable Nonlinear Control - p. 530 83. 12.4 Nonlinear Multivariable Control of a Chemical Reactor - p. 537 84. Chapter 13: Economic Model Predictive Control of Transport-Reaction Processes - p. 546 85. Index - p. 591
Coulson and Richardson’s Chemical Engineering: Volume 3B: Process Control, Fourth Edition, covers reactor design, flow modeling, and gas-liquid and gas-solid reactions and reactors.
1. Introduction - p. xxv 2. Chapter 1: Introduction - p. xxvi 3. Chapter 2: Hardware Requirements for the Implementation of Process Control Systems - p. 16 4. Chapter 3: Theoretical Process Dynamic Modeling - p. 38 5. Abstract - p. 39 6. 3.1 Detailed Theoretical Dynamic Modeling - p. 39 7. 3.2 Solving an ODE or a Set of ODEs - p. 42 8. 3.3 Examples of Lumped Parameter Systems - p. 46 9. 3.4 Examples of Stage-Wise Systems - p. 72 10. 3.5 Examples of Distributed Parameter Systems - p. 84 11. 3.6 Problems - p. 92 12. Chapter 4: Development of Linear State-Space Models and Transfer Functions for Chemical Processes - p. 94 13. Abstract - p. 95 14. Part A—Theoretical Development of Linear Models - p. 95 15. 4.1 Tools to Develop Continuous Linear State-Space and Transfer Function Dynamic Models - p. 96 16. 4.2 The Basic Procedure to Develop the Transfer Function of SISO and MIMO Systems - p. 117 17. 4.3 Steps to Derive the Transfer Function (T.F.) Models - p. 118 18. 4.4 Transfer Function of Linear Systems - p. 121 19. Part B—The Empirical Approach to Develop Approximate Transfer Functions for Existing Processes - p. 161 20. Chapter 5: Dynamic Behavior and Stability of Closed-Loop Control Systems—Controller Design in the Laplace Domain - p. 180 21. Abstract - p. 181 22. 5.1 The Closed-Loop Transfer Function of a Single-Input, Single-Output (SISO) Feedback Control System - p. 181 23. 5.2 Analysis of a Feedback Control System - p. 183 24. 5.3 The Block Diagram Algebra - p. 188 25. 5.4 The Stability of the Closed-Loop Control Systems - p. 189 26. 5.5 Stability Tests - p. 191 27. 5.6 Design and Tuning of the PID Controllers - p. 199 28. 5.7 Enhanced Feedback and Feedforward Controllers - p. 210 29. 5.8 The Feedforward Controller (FFC) - p. 224 30. 5.9 Control of Multiinput, Multioutput (MIMO) Processes - p. 229 31. 5.10 Problems - p. 236 32. Chapter 6: Digital Sampling, Filtering, and Digital Control - p. 242 33. Abstract - p. 243 34. 6.1 Implementation of Digital Control Systems - p. 244 35. 6.2 Mathematical Representation of a Sampled Signal - p. 245 36. 6.3 z-Transform of a Few Simple Functions - p. 246 37. 6.4 Some Useful Properties of the z-Transform - p. 248 38. 6.5 Inverse z-Transform - p. 249 39. 6.6 Conversion of an Equation From the z-Domain to a Discrete Equation in the Time Domain - p. 250 40. 6.7 Derivation of the Closed-Loop Transfer Function (CLTF) of a Digital Control System - p. 250 41. 6.8 The Closed-Loop Pulse Transfer Function of a Digital Control System - p. 254 42. 6.9 Selection of the Sampling Interval - p. 254 43. 6.10 Filtering - p. 255 44. 6.11 Mapping Between the s-Plane and the z-Plane - p. 255 45. 6.12 Design of Digital Feedback Controllers for SISO Plants - p. 260 46. 6.13 Design of Model-Based SISO Digital Controllers - p. 262 47. 6.14 Design of Feedforward Controllers - p. 278 48. 6.15 Control of Multi-Input, Multi-Output (MIMO) Processes - p. 280 49. Problems - p. 289 50. Chapter 7: Control System Design in the State Space and Frequency Domain - p. 292 51. Abstract - p. 293 52. 7.1 State-Space Representation - p. 293 53. 7.2 Design of Controllers in the State Space - p. 304 54. 7.3 Frequency Response of Linear Systems and the Design of PID Controllers in the Frequency Domain - p. 312 55. 7.4 Problems - p. 330 56. Chapter 8: Modeling and Control of Stochastic Processes - p. 332 57. Abstract - p. 333 58. 8.1 Modeling of Stochastic Processes - p. 333 59. 8.2 Identification of Stochastic Processes - p. 340 60. 8.3 Design of Stochastic Controllers - p. 354 61. 8.4 Problems - p. 364 62. Chapter 9: Model Predictive Control of Chemical Processes: A Tutorial - p. 366 63. Chapter 10: Optimal Control - p. 402 64. Chapter 11: Control and Optimization of Batch Chemical Processes - p. 440 65. Abstract - p. 441 66. Acknowledgments - p. 441 67. 11.1 Introduction - p. 441 68. 11.2 Features of Batch Processes - p. 442 69. 11.3 Models of Batch Processes - p. 444 70. 11.4 Online Control - p. 449 71. 11.5 Run-to-Run Control - p. 454 72. 11.6 Batch Automation - p. 460 73. 11.7 Control Applications - p. 462 74. 11.8 Numerical Optimization - p. 473 75. 11.9 Real-Time Optimization - p. 480 76. 11.10 Optimization Applications - p. 486 77. 11.11 Conclusions - p. 499 78. Chapter 12: Nonlinear Control - p. 503 79. Abstract - p. 505 80. 12.1 Introduction - p. 505 81. 12.2 Some Mathematical Notions Useful in Nonlinear Control - p. 505 82. 12.3 Multivariable Nonlinear Control - p. 530 83. 12.4 Nonlinear Multivariable Control of a Chemical Reactor - p. 537 84. Chapter 13: Economic Model Predictive Control of Transport-Reaction Processes - p. 546 85. Index - p. 591
