Title :
Research on brine flux control based on fuzzy-immune PID algorithm in freezing station
Author :
Hong Yan ; Su Jing-ming ; Tang Chao-li ; Zhang Vou-neng
Author_Institution :
Electr. & Inf. Eng. Inst., Anhui Univ. of Sci. & Technol., Huainan, China
Abstract :
According to the characteristics of pure delay, time-varying and nonlinear in brine freezing sinking flow control system, therefore, the author imported the fuzzy theory into intelligent immune feedback control algorithm and designed a kind of embedded intelligent flux controller based on fuzzy-immune adaptive PID algorithm. Results show that this controller has better static and dynamic control performance than traditional PID control and fuzzy PID control, what´s more its overshoot is less, adapt ability is better, stable speed is faster, which has good significance to technology renovation of frequency control of coal mine freezing sinking.
Keywords :
artificial immune systems; coal; delays; feedback; flow control; freezing; frequency control; fuzzy control; intelligent control; mining industry; nonlinear control systems; three-term control; time-varying systems; brine flux control; brine freezing sinking flow control system; coal mine freezing sinking; embedded intelligent flux controller; freezing station; frequency control; fuzzy PID control; fuzzy theory; fuzzy-immune adaptive PID algorithm; intelligent immune feedback control algorithm; nonlinear characteristics; pure delay characteristics; time-varying characteristics; Artificial intelligence; Cells (biology); Frequency conversion; Immune system; PD control; Real time systems; embedded intelligent flux controller; fuzzy theory; fuzzy-immune adaptive PID; immune feedback; nonlinear;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4673-0088-9
DOI :
10.1109/CSAE.2012.6272547