Plantwide Process Control
by Kelvin T. Erickson
and John L. Hedrick

This book presents a complete methodology of control system design for continuous and batch manufacturing in such diverse areas as pulp and paper, petrochemical, chemical, food, pharmaceutical, and biochemical production.

Geared to practicing engineers faced with designing increasingly more sophisticated control systems in responses to present-day economic and regulatory pressures, Plantwide Process Control focuses on the engineering portion of a plant automation improvement project.

This book features a full control design information package and guides readers through all steps of the automation process, from the initial concept to design, simulation, testing, implementation, and operation.

This unique and practical resource:

• Integrates continuous, batch, and discrete control techniques
• Shows how to use the methodology with any automation project, existing or new, simple or complex, large or small
• Relates recent ISO and ISA standards to the discipline of control engineering
• Illustrates the methodology with a pulp-and-paper mill case study
• Incorporates numerous other examles, from single-loop controllers to multivariable controllers

Contents

1. Introduction to Process Plant Systems and Control Technology: What is a Plant? Modern Process Control.
2. Control Engineering on Capital Projects: Control Engineering. Plant Capital Project Management. Project Team Considerations.
3. A Practitioner's Model for Automation and Control: S88.01 Models. Information Management. User Interface. Control System Technology. Example Models.
4. Process Modeling: Dynamic Models Based on Fundamentsl Principles. Empirical Models. Discrete-Time Models. Simulation. Empirical Model Identification.
5. Single-Loop Regulatory Control: general Feedback Control. PID Controller. PID Controller Tuning. User Interface Considerations.
6. Enhancements to Single-Loop Regulatory Control: Cascade Control. Feedforward Control. Ratio Control. Split-Range Control. Override Control. Single-Loop Model Predictive Control. Batch Control Considerations.
7. Multivariable Regulatory Control: Multiloop Control. Decoupling Control. Singular-Value Decomosition. Multivariable Model Predictive Control. User Interface.
8. Discrete Control: Basic Discrete Control. Interlock Control. Discrete-Control Modules. Unit Supervision Discrete Control.
9. Batch Control: Batch Plant Operation Complexity. Batch Operation Model. Procedural Control in Batch Processing. Coordination Control. Recipe Control. Batch Campaign Management. Batch Data Management. Batch-User Interface for Setup and Operation. Batch Control Example.
10. Case Study: Pulp and Paper Mill: Pulp Mill Area. Paper Mill Area.

Appendices
Glossary
Index

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