Posts Tagged ‘model predictive control’

Handling Processes with Long Lag Times

Posted in Water & Wastewater on Thursday, August 2nd, 2018. No comments yet
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Emerson’s Mircea Lupu shared his thoughts on Ovation system algorithms for handling processes with long lag times—a control challenge that vexes many. Mircea opened noting that control algorithms are at the heart of any control system to provide stable and accurate response and robustness against disturbances and process changes. Tuning these algorithms to achieve the […]

Advanced Startup Automation in the Power Industry

Posted in Event, Power on Monday, July 30th, 2018. No comments yet
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At the 2018 Ovation Users’ Group Conference, a power producer shared their story of how they improved their unit startups through the application of advanced technology. The US electrical power grid is evolving rapidly as it adds more renewable generation from solar and wind energy sources. This trend is driving the need for large generating […]

Wireless Multi-Rate Model Predictive Control

Posted in Industrial IOT, Wireless on Monday, January 22nd, 2018. No comments yet
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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

Posted in Power on Wednesday, July 26th, 2017. No comments yet
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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 […]

Model Predictive Control Tips & Techniques Preview

Posted in Emerson Exchange, Process Optimization on Tuesday, September 13th, 2016. No comments yet
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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 […]