Process Control, the statistical control step of the best-selling methodology for process characterization, optimization and control --the MPCpS Methodology-- offers a step-by-step approach into monitoring and controlling processes. If you need to improve your process, increase the yield, reduce variation, or identify the most influential process parameters, let process-improvement expert Mario Perez-Wilson show you how. This book walks you through a system that integrates the necessary tools to establish a preventive and continuous plan to control critical machine parameters, significant process variables and product characteristics during production. This guarantees a stable, capable and fool-proof process free of defects. Just follow this step-by-step approach at your own pace and teach yourself how to control processes. You will be improving processes right away!
In other more advanced control applications, a computer-based model of the process is used to compute the required MV and this is applied directly to the process as shown in Figure 1.16. Set point (r) Load (q) Feedforward model ...
Combining their extensive knowledge of process control, the team of William Luyben and Michael Luyben has developed a book that thoroughly covers the area of process control. With concise coverage...
A state-of-the-art study of computerized control of chemical processes used in industry, this book is for chemical engineering and industrial chemistry students involved in learning the micro-macro design of chemical process systems.
Work on those that do requires the skill more associated with a control engineer. Sites that assign all tuning to the instrument department risk overlooking important opportunities to improve process performance.
This comprehensive guide covers the major elements of process control in a well-defined and ordered framework.
This book fills the gap between basic control configurations (Practical Process Control) and model predictive control (MPC).
Optimization and Constrained Multivariable Control of a Catalytic Cracking Unit. AIChE National Mtg., Houston, TX. [115] Prett, D.M. and M. Morari (1987). The Shell Process Control Workshop. Process Control Research: Industrial and ...
This reference book can be read at different levels, making it a powerful source of information.
Process Control
Table 11.7 Reactor Mooney off-spec results over 14 production dates: Pareto analysis of reasons Tally Reasons for Mooney off-spec Frequency Percentage of total Cumulative percentage ...