Optimal PID Controller Tuning using Simulated Annealing based Internal Model Control

Abstract

In this paper, simulated annealing (SA), a heuristic algorithm is used to tune PID based Internal Model Control (IMC) for large and small / systems. PID tuning is effected with SA optimizer. The IMC technique requires tuning of a single parameter, filter constant which in turn is used to find the PID controller parameters: proportional gain, reset time and derivative time. The proposed method uses SA for tuning the filter constant. The proposed method is verified in systems with different / ratio.