Adaptive Self-Tuning PID Algorithm Based on Continuous Synthesis

Abstract

This paper describes the analytical PID algorithm which has the adaptive self-tuning performance. It’s synthesis is made in a continuous domain. This means that identification is followed by recalculation into the continuous domain and the final gain of the algorithm is compensated due to sampling interval. Simulation experiments performed on analogue models as hybrid simulation in real time are also shown. The suggested design of the control algorithm is robust against the changes of the plant parameters and change of sampling interval. The simplicity of the control algorithm makes it suitable for initial experiments with adaptive algorithms in the teaching process and also in real control of heat exchangers and energetic plants.