Meaning
Control structures that incorporate a model of the process dead time into the feedback loop allow for the regulation of systems where the sensor is located far from the actuator. A smith predictor uses an internal simulation to estimate the effect of a control action before the physical result reaches the measurement point. This algorithm is frequently used in sheet extrusion where the thickness gauge is positioned several meters downstream from the die.
Delay Compensation
Separation of the system dynamics from the pure time delay enables the use of higher controller gains without inducing instability. The smith predictor subtracts the predicted delayed output from the current measurement and adds back the predicted non-delayed output. This technique effectively removes the dead time from the characteristic equation of the closed-loop system.
Feedback Stability
Conventional controllers often oscillate when faced with a lag that exceeds the dominant time constant of the process. By using the smith predictor, the regulator acts on an estimate of the current state rather than a stale data point from the past. This approach leads to much faster recovery from disturbances like changes in resin viscosity or fluctuations in screw speed.
Model Accuracy
Performance of the control loop depends on how closely the internal simulation matches the actual behavior of the production line. If the estimated dead time differs from the real transport delay, the smith predictor can actually degrade the stability of the system. Operators must periodically calibrate the model to account for changes in line speed or material flow characteristics.