Implementation of Predictive Control System with PID-Algorithm and Autotuning Module Using Owen PLC

This paper considers in general the problem of control system performance improvement, and, particularly, using predictive control systems. Various ways of improvement are described and the predictive system is considered in detail. This system is implemented in a laboratory workbench equipped with a physical model of an electric heater and a modern PLC. The system consists of a PID-algorithm, a prediction module and an auto-tuning module. The prediction algorithm is linear. The auto-tuning module allows to refresh the plant model and to re- tune the PID-algorithm if necessary. The possibility to implement the control system described using a modern PLC is estimated and the performance of this system is analyzed. Influence of the prediction time value is analyzed and recommendation on the prediction time value selection is given.