If you're a bit fuzzy on the concept of fuzzy-logic control, if neural networks cause your neurons to short-circuit, or if you just want a more thorough understanding of advanced control systems, the International Society of Automation has published a book that could offer some enlightenment.
"Advanced Control Foundation: Tools, Techniques and Applications,"
released this past fall, "explains the concepts and terminology of advanced control, and highlights the advanced control tools and techniques most widely and effectively applied in the process industry today," according to the nonprofit organization.
Co-authored by Terry Blevins, Willy Wojsznis and Mark Nixon, the book is designed to help control engineers and process engineers gain a more thorough understanding of the concepts and capabilities of advanced control, "which have been proven to reduce variation in plant operation, achieve production targets and improve plant production."
"The book is ideally suited to process and control engineers who have a sound understanding of conventional control techniques but have little or no background on advanced control," Blevins said.
In addition to providing practical examples of advanced control techniques commonly used in process industries, the book's companion website offers workshops on commercially available products that apply the advanced control concepts and techniques discussed in the book, Blevins noted.
The book targets control engineers responsible for the commission, installation and maintenance of control systems and the advanced control tools installed in process plants, as well as process engineers charged with improving process operations and efficiency, according to the International Society of Automation.
The book also is relevant to engineering students interested in how advanced control is used in process industries.
From Model Predictive Control to Data Analytics
The book details the primary advanced control techniques that are most commonly used in the process industry for:
- Monitoring control-system performance.
- On-demand and adaptive tuning.
- Model predictive control.
- Linear programming optimization.
- Data analytics for batch and continuous processes.
- Fuzzy-logic control.
- Neural networks.
- Advancements in proportional-integral-derivative (PID) controllers for use with wireless measurements.
"Each chapter is designed to quickly educate readers on various technologies and how they are applied," the society said. "Examples are used to clearly illustrate the requirements for successful applications. A section of each chapter is dedicated to in-depth explanations of the mathematical basis for each technology."
For automation professionals who work with distributed control systems (DCS) that do not support advanced control, a chapter of the book discusses techniques that can integrate advanced control tools into existing control systems.
Another chapter addresses how dynamic process simulations can be created in a DCS to support checkout and operator training on the use of advanced control.
Decades of Experience
All three co-authors work for Emerson Process Management, a global supplier of process-automation services and technologies.
"The co-authors draw on their decades of collective experience in designing and applying advanced process-control systems across industries, namely oil and gas, refining, chemicals, pulp and paper, cement, steel and mining," the society said in a news release.
"Together, the authors have developed numerous innovative process-control products, written well over 100 technical papers and introduced more than 150 patents."