Communications networks have become pervasive at many levels in control system architectures. As wireless networks and the Industrial Internet of Things become more common, the complexity and security requirements for these networks grows. Emerson’s Felipe Fakir shared a new book on these communication networks with me. He co-authored one of the chapter. The book, Networked […]
Model predictive control in power generation was the subject of a 2017 Ovation Users Group presentation by Emerson’s Ranjit Rao. Rajit opened comparing classical control with model-based control. In classical control, a proportional-derivative-integral loop is used with feedback. There is a setpoint, the actual process variable and the error or difference between the process variable […]
Moving from the theoretical world of proportional-integral-derivative control to applying it successfully is a hurdle new process control engineers face. Once mastered, the next step might be in applying advanced process controls. Model predictive control, neural networks, fuzzy logic, gain scheduling and more each require bandwidth and experience to master. One great way to climb […]
Author: James Gremillion One of the earliest applications of “computer control”, a now archaic term, on an ammonia plant was done in 1969 by Weissenfelder and Shah of Borden Chemical and IBM respectively. They were able to implement advanced control schemes in a computer that had proven to be too difficult to do in the […]
Distillation is an important process from crude oil refining to fine sipping whiskey production. Managing this process safely, efficiently and reliably is the challenge. In a recent Hydrocarbon Processing article, Use model predictive control to achieve real-time management of a DWC, Emerson’s Terry Blevins teamed up with Eastman Chemical Company and the University of Texas […]
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