THE IMMUNE FUZZY PID STRIPPER TEMPERATURE CONTROL ALGORITHM BASED ON CHAOTIC OPTIMIZATION

摘要

Polyvinyl chloride (PVC) stripping process has characteristics of being highly nonlinear, large time delay and the temperature being difficult to control precisely. Immune fuzzy PID controller was adopted to control the stripping temperature, and chaos optimization algorithm is proposed for parameter optimization of fuzzy immune PID controller. Firstly, through the chaotic coarse search (once carrier), the sub-optimal solution of parameters can be obtained quickly. Secondly, the fine search (secondary carrier) is used to find out the global optimal values in the near-field of sub-optimal solution. Finally, the new control system is simulated and compared with the conventional PID controller, fuzzy PID controller and immune fuzzy PID controller. The simulation results show that the chaotic optimization-immune fuzzy PID controller has the smaller overshoot, shorter settling time and faster response speed, and that the control effect of the stripping tower is obviously improved.