Control-Oriented Greybox Noise Structure Of Multi-Stage Spray Dryers For Data-Driven Tuning Of Kalman Filter

To facilitate data-driven tuning of kalman filter, we propose a control-oriented greybox noise structure of multi-stage spray dryers. In the first step, we derive the noise structure by a combination of physical arguments, experimental data and control-oriented considerations. In the second step, we evaluate the proposed noise structure by comparison to a benchmark noise structure used in the industry. The comparison is based on experimental data from a pilot plant. The evaluations show that the proposed noise structure gives a difference only in noise-performance trade-offs. Hence the proposed noise structure is suitable to be used in closed loop control of multi-stage spray dryers.