A self-tuning fuzzy PID control method of grate cooler pressure based on Kalman filter

摘要

A self-tuning fuzzy PID control method of grate cooler pressure based on Kalman filter was developed to overcome the frequently varying working condition and worse signal-to-noise radio of pressure signals. Based on dynamic simulation and characteristics analysis on clinker cooling system, the system variables were determined, then the control model of grate cooler was obtained by system identification. It was shown that this method could inhibit the influence of noise of pressure signals, could enhanced adaptive capability of controller and could improved heat energy recovery efficiency of grate cooler.