Simulation study of genetic fuzzy PID cascade control system for soy flour spray drying tower

Abstract

Objective: This paper proposed a genetic fuzzy PID cascade control system. Methods: Taking the outlet temperature as the main control quantity and the inlet temperature as the secondary controlled quantity, a cascade control system was made. The genetic fuzzy PID controller was used to control the main loop, and the PI controller was used to control the secondary loop. Results: Compared with conventional PID control, the cascade genetic fuzzy PID control had the advantages of shorter regulation time, better robustness. Conclusion: The genetic fuzzy PID cascade control system for soy flour spray drying tower can improve the quality of soy flour production.

Keywords

• spray drying
• cascade control
• genetic fuzzy pid
• matlab simulation