Control Sensitivity to Process Variation

The sensitivity of the PID, Dahlin, and Smith Predictor control algorithms to process change is investigated. The processes are characterized by their gain, dead time, and dominant lag time constant. Comparisons are made using the normalized integrated squared error resulting from upsets introduced by stop set-point and step load changes. This paper reveals now plots which show, in a refined way, the sensitivity to process variations.