Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have different boiling points. Typically, a mixture of ...

When model-based multivariable control made its debut in the 1980s, it was expected that process models, once acquired through a plant step test, would be durable and long lived. However, this ...

At yearend 1998, Koa Oil Co. (now part of Nippon Oil Corp.) embarked on a comprehensive advanced control implementation at its refineries in Marifu and Osaka. The advanced control implementation ...

Model predictive control (MPC) has emerged as a powerful methodology for optimising the performance of grinding mill circuits in mineral processing. By utilising a dynamic model of the process, MPC ...

Model Predictive Control (MPC) has emerged as a versatile and robust strategy in modern control engineering, enabling controllers to predict future system behaviour and optimise performance over a ...

TOKYO--(BUSINESS WIRE)--Yokogawa Electric Corporation (TOKYO:6841) announces the release of Dynamic Real Time Optimizer, a solution in the OpreX TM Asset Operations and Optimization family. Using a ...

To improve the dynamic response performance of a high-flow electro-hydraulic servo system, scholars have conducted considerable research on the synchronous and time-sharing controls of multiple valves ...

Rockwell Automation Pavilion8 Model Predictive Control (MPC) software now empowers engineers to design and execute step tests faster, safer and more accurately. Unlike manual step tests that must be ...

Realization of digital-twin control by connecting Large Helical Device (LHD) (Toki, Gifu) located at NIFS and the Plasma Simulator supercomputer (Rokkasho, Aomori), jointly procured by NIFS and QST, ...