Commissioning and start-up of the AspenTech DMC3 Calibrate module
A predictive controller loses performance when the plant drifts from the model it was identified with. Calibrate proposes re-identifying that model while the controller operates, but for that it needs to be connected to the plant with historical data being recorded. The question was whether it could recover a correct model after a plant change.
- I built a simulated blending plant in Simulink and connected it to DMC3 via OPC UA.
- I set up the real-time data historization and kept it running.
- I introduced an intentional gain change in the plant and tested whether Calibrate detected and corrected it.

Fig. 1.1 — Gain re-identification plot with Calibrate (DMC3) after an intentional plant change: estimated gain 0.7221 versus a true value of 0.72 (0.29% error).

Fig. 1.2 — Simulated blending plant in Simulink, connected to DMC3 via OPC UA.








