Meaning
Industrial software architectures automate complex chemical processes by calculating setpoints for multiple variables simultaneously. Implementing advanced process control helps chemical plants maintain stability when disturbances occur. This methodology acts on feedback loops to prevent safety limits from being breached.
Control Algorithm
Mathematical models predict the future behaviour of a plant over a specified time horizon. The controller solves a quadratic programming problem at each execution step to minimise the error between the setpoints and the actual outputs. It adjusts the manipulated variables while respecting hard physical constraints on valves and pumps.
This predictive capability allows the software to handle complex interactions between variables that traditional feedback loops cannot manage.
Industrial Implementation
Commissioning requires a step-testing phase where the plant is deliberately perturbed to collect dynamic response data. Engineers use these data to identify the transfer functions that represent the plant. The controller then executes on a dedicated server connected to the distributed control system.
Economic Payback
Optimising the plant closer to its operating limits increases the throughput and reduces the specific energy consumption. Operators reduce the variation in product quality, which decreases the volume of off-specification material. This stability allows the plant to run continuously at higher average feed rates.
