Model parameter identification and advance control of reaction regeneration system based on PPSO

In this paper partially-perturbed particle swarm optimization (PPSO) is applied for the parameter identification in Reaction - Regeneration System Model. Based on the mechanism model, the experimental data are obtained, and the first order plus dead time (FOPDT) mathematical model is established for different groups of parameters. We use the double input-double output (DIDO) Robustness, Tracking, Disturbance rejection - overall Aggressiveness (RTD-A) controller to control the identification model. The experimental results show that the identified model is consistent with the mechanism model in certain grouping conditions. The control effect of the DIDO RTD-A controller is significantly better than that of the IMC-PID controller.