Question

Please describe the major difference between the Model based system and a Smith Predictor (i.e. what was required additionally, by one of the two systems).

Answer 1

The Smith predictor is a model-based controller that is effective for processes with long dead time. It has an inner loop with a main controller that can be simply designed without the dead time. The effects of load disturbance and modeling error are corrected through an outer loop. The Smith predictor can also be used for processes with significant non-minimum phase dynamics and for high order systems that exhibit apparent dead time

For the Smith, we have to enter the process parameters into the models and to give it some reasonable tuning parameters . We would not even need to calculate them, just estimate them directly from the process parameters.

The Smith predictor designed to control systems with a significant feedback time delay.Smith predictor controls the present.

Model-based systems is a systems methodology that focuses on creating and exploiting domain models as the primary means of information exchange, rather than on document-based information.