Thermal stability criteria embedded in avanced control systems for batch process intensification
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Abstract
Thermal stability of batch processes is a major factor for the safe and efficient production of polymers and pharmaceutical chemicals. The prediction of thermal stability for such nonlinear, non steady-state processes is unreliable when using most stability criteria found in literature.
A new stability criterion
Embedding thermal stability criteria within Model Predictive Control (MPC) frameworks results in advanced control systems capable of intensifying batch processes safely, hence resulting in shorter processing times.
It is shown that embedding criterion
The effect of parametric uncertainty for process control is of utmost importance for industrial application. It is shown that the use of scenario-based MPC and worst case MPC, together with criterion