Application of MPC control breaking through using fast process simulations
article
The use of a fast glass simulator (GPS) as a soft sensor for model-based predictive control (MPC) to reveal online the process quality of a glass furnace is discussed. The simulation can be used to determine corrections to process conditions for optimum production performance and improved product quality. The application of GPS as a soft sensor leads to a more stable production as it gives much more insight into different glass melting processes, glass quality, and energy consumption, leading to a more uniform way of working for furnace operators and glass technologists. Moreover, GPS leads to a drastic increase of trial and error, as the impact of improvement actions are simulated before changing furnace settings.
Topics
Computational fluid dynamicsComputer simulationFlow of fluidsGlass furnacesMeltingOnline systemsPredictive control systemsProcess controlQuality controlRefiningTemperature distributionGas flow ratesGlass process simulators (GPS)Model-based predictive control (MPC)Proper orthogonal decomposition (POD)Glass manufacture
TNO Identifier
237861
ISSN
01437836
Source
Glass International, 27(4), pp. 24-25.
Publisher
DMG World Media
Pages
24-25
Files
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