Dynamics and control of chemical reactors, distillation columns, and batch processes (DYCORD+ '95) : a postprint volume from the 4th IFAC Symposium, Helsingør, Denmark, 7-9 June 1995 / edited by J.B. Rawlings, co-edited by W. Marquardt, D. Bonvin, S. Skogestad.
Publication Info.
Oxford, UK ; New York : Published for the International Federation of Automatic Control by Pergamon Press, 1995.
Front Cover; Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (Dycord+ '95); Copyright Page; Acknowledgements; TABLE OF CONTENTS; PART I: PLENARY PAPER I; CHAPTER 1. A CONTEMPORARY INDUSTRIAL PERSPECTIVE ON PROCESS CONTROL THEORY AND PRACTICE; 1 INTRODUCTION; 2 RE-EXAMINING ""PROCESS CONTROL""; 3 A BRIEF HISTORICAL PERSPECTIVE; 4 CONTEMPORARY ISSUES; 5 ANTICIPATING THE FUTURE; 6 SUMMARY/CONCLUSION; REFERENCES; Part II: CHEMICAL REACTORS I; CHAPTER 2. CONTROL SYSTEM IMPROVEMENT OF AN INDUSTRIAL CHEMICAL REACTOR; 1. INTRODUCTION; 2. OUTLINE OF EXISTING PLANT.
3. MODELING OF EXISTING PLANT4. BASIC STRATEGY FOR IMPROVEMENT; 5. ADVANCED STRATEGY FOR IMPROVEMENT; 6. CONCLUSION AND FUTURE DEVELOPMENT; 7. REFERENCES; CHAPTER 3. COMPUTATIONAL FLUID DYNAMICS AS A TOOL FOR CHEMICAL REACTOR OPTIMIZATION; 1. INTRODUCTION; 2. REACTOR MODEL; 3. EXAMPLES OF FLUID FLOW SIMULATION; 4. CONCLUSIONS; REFERENCES; CHAPTER 4. Control of Forced Cyclic Process; 1. INTRODUCTION; 2. METHODS; 3. STATIC BEHAVIOUR; 4. DYNAMIC BEHAVIOUR; 5. CONTROL PROBLEM; 6. CONCLUSIONS; 7. LITTERATURE; CHAPTER 5. FUZZY LOGIC CONTROLLER DESIGN FOR PH-CONTROL IN A CSTR; 1. INTRODUCTION.
2. DESCRIPTION AND MODELLING OF THE PLANT3. FUZZY CONTROLLER DESIGN BASED ON HEURISTICS ALONE; 4. APPROXIMATION OF OPTIMAL CONTROLLERS BY A FUZZY SYSTEM; 5. MODEL BASED FUZZY CONTROLLER DESIGN; 6. CONCLUSIONS; REFERENCES; CHAPTER 6. RELIABLE AND EFFICIENT OPTIMIZATION STRATEGIES FOR NONLINEAR MODEL PREDICTIVE CONTROL; 1. INTRODUCTION; 2. A MULTIPLE SHOOTING FORMULATION FOR PROCESS CONTROL; 3. EXAMPLES; 4. CONCLUSIONS; ACKNOWLEDGMENTS; 5. REFERENCES; PArt III:CHEMICAL REACTORS II; CHAPTER 7. OPTIMAL ESTIMATION OF STATES IN DIFFERENTIAL-ALGEBRAIC EQUATION SYSTEMS; 1. INTRODUCTION.
2. optimal estimation for dae systems3. application to a fixedbed reactor; 4. performance of the reactor estimator; 5. conclusions; references; chapter 8. use of iterative dynamic programmingin optimization of reactor systems; 1. introduction; 2. optimal control problem; 3. idp algorithm; 4. numerical results; 5. conclusions; references; chapter 9. hard constraints in control and state variables of multivariable nonlinear processes resolved by elementary nonlinear decoupling; 1. introduction; 2. short review of the end algorithm; 3. the end algorithm with constrained state variables.
4. end control of a stirred tank reactor with two consecutive reactions5. conclusion; 6. acknowledgements; 7. references; chapter 10. time-variable models for mixing processes under unsteady flow and volume; 1. introduction; 2. time-varying age distributions; 3. models and their interconnections; 4. practical tests; 5. conclusion; 6. references; chapter 11. general methods of kinetic model reduction; 1. introduction; 2. reactor modeling; 3. vs formulation for network reduction; 4. ga formulation for network reduction; 5. test problem; 6. results; 7. conclusion; 8. references.
Summary
Three important areas of process dynamics and control: chemical reactors, distillation columns and batch processes are the main topics of discussion and evaluation at the IFAC Symposium on Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (DYCORD '95). This valuable publication was produced from the latest in the series, providing a detailed assessment of developments of key technologies within the field of process dynamics and control.
