Plantwide control of the fiber line in a pulp mill

Industrial and Engineering Chemistry Research

Volumn 41, Issue 5, 2002, Pages 1310-1320

  Castro, Jorge J ^a   Doyle III, Francis J ^a  

^a University of Delaware   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL ENGINEERING; COMPUTER SIMULATION; HEURISTIC METHODS; PAPER AND PULP INDUSTRY; PREDICTIVE CONTROL SYSTEMS; PULP DIGESTERS; THREE TERM CONTROL SYSTEMS;

OXYGEN REACTORS;

PAPER AND PULP MILLS;

CONTROL SYSTEM; MILL; PROCESS CONTROL; PULP AND PAPER INDUSTRY;

ARTICLE; CHEMICAL ENGINEERING; CHEMICAL INDUSTRY; CONTROL SYSTEM; FIBER; MODEL; PULP MILL; REACTOR;

DIGESTERS; PAPER INDUSTRY; PULP INDUSTRY; PULP MILLS; SET POINT; STORAGE TANKS; THREE TERM CONTROLLERS;

EID: 0037028961     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie010008x     Document Type: Article

References (54)

1. Critique of chemical process control theory
2. Studies in the synthesis of control structures for chemical processes, Part I. Formulation of the problem. Process decomposition and classification of control tasks. Analysis of the optimizing control structures
3. Studies in the synthesis of control structures for chemical processes, Part II. Structural aspect and the synthesis of alternative feasible control schemes
4. Studies in the synthesis of control structures for chemical processes, Part III. Optimal selection of secondary measurements within the framework of state estimation in the presence of persistent unknown disturbances
5. Plantwide regulatory control design procedure using a tiered framework
6. Plantwide control design procedure
7. Hierarchical procedure for plantwide control system synthesis
8. Design and control of a complex process involving two reaction steps, three distillation columns, and two recycle streams
9. An industrial design/control study for the vinyl acetate monomer process
10. Base control for the Tennessee Eastman problem
11. Plant-wide control of the Tennessee Eastman problem
12. Nonlinear model based control of a recycle reactor process
13. Modelling and control of a hypochlorite bleaching stage for dissolving pulp
14. Nonlinear inferential parallel cascade control
15. Nonlinear model predictive control of the Tennessee Eastman challenge proceess
16. Decentralized control of the Tennessee Eastman challenge process
17. Reaction profile control of the continuous pulp digester
18. Statistical process control of digester permanganate and kappa numbers: Closing the loop with SPC
19. Application of feedforward neural networks and partial least squares regression for modelling kappa number in a continuous digester
20. Fuzzy neural networks for estimation and fuzzy controller design: Simulation study for a pulp batch digester
21. Prediction and control of pulping processes using neural network models
22. Model predictive control of a continuous kamyr digester at SCA-Nordliner
23. Mathematical models for simulation and control of bleaching stages
24. Comparison of an auto-tuned PID regulator and an adaptive predictive control system of an industrial bleach plant
25. Laguerre-based adaptive control of pH in an industrial bleach plant extraction stage
26. A kamyr continuous digester model for identification and controller design
27. Fundamental continuous pulp digester model for simulation and control
28. Modeling and dynamic simulation of a bleach plant
29. Development and verification of a predictive oxygen delignification model for hardwood and softwood kraft pulp
30. Stoichiometry of chorine dioxide prebleaching of softwood kraft pulp
31. Kinetics of alkaline bleaching for the kraft CE sequence
32. Mathematical model for chlorine dioxide bleaching and its applications
33. Cinematic modeling of dynamics of countercurrent systems
34. Principles of pulp washing
35. On a new measure of interactions for multivariable process control
36. Closed-loop properties for steady-state gain information
37. Simple frequency-dependent tools for control system analysis, structure selection and design
38. A general method to calculate input - Output gains and the RGA for integrating processes
39. Pairing criteria for decentralized control of unstable plants
40. A heuristic approach to the design of linear multivariable interacting control systems
41. Low order emprical modeling for nonlinear systems
42. Internal model control. 4. PID controller design
43. Automatic tuning of simple regulators with specifications on phase and amplitude margin
44. A state space formulation for model predictive control
45. A state-space interpretation of model predictive control