Title :
A self-tuning fuzzy PID control method of grate cooler pressure based on Kalman filter
Author :
Wang, Zhuo ; Yuan, Mingzhe
Author_Institution :
Shenyang Inst. of Autom., Shenyang, China
Abstract :
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.
Keywords :
Kalman filters; fuzzy control; self-adjusting systems; three-term control; clinker cooling system; dynamic simulation; energy recovery; grate cooler pressure; kalman filter; pressure signals; self tuning fuzzy pid control; signal to noise radio; Adaptation models; Kalman filter; grate cooler; self-tuning fuzzy PID;
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
DOI :
10.1109/CSIP.2012.6308843
