Basics of Model Predictive Control
Were it not for noise and disturbances, running a process at a constant optimum level would be relatively easy. You could set up a simple controller to do it. In reality though, we live in a chaotic world, where uncontrollable influences constantly disrupt the running of a plant.
Model predictive control improves the management of these process disturbances by executing multiple coordinated control moves many times a minute, continuously during production. This constant fine-tuning could not be achieved with a PLC and would be impossible for an operator to replicate.
The improved operational stability achieved by Spiro MPC facilitates increased production, lower energy costs, improved product quality, and better operational reliability.