DocumentCode :
231840
Title :
On lime kiln temperature system based on GA fuzzy PID algorithm and optimal control
Author :
Li Shaoming ; Yang Peng ; Yang Fan ; Zhang Guoli
Author_Institution :
Anhui Univ. of Technol., Ma´anshan, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
4545
Lastpage :
4550
Abstract :
Considering the problem of the low combustion efficiency in the combustion control system of the sleeve kiln, and the low activity of the lime produced, a plan is designed for the intelligent temperature control in the combustion chamber of the lime kiln. First, with the aim of controlling the temperature of the combustion chamber, and to adjust the gas flow, a plan is proposed to use fuzzy PID intelligence to control the temperature of the combustion chamber. According to the disadvantages that the membership functions of fuzzy control are determined by experience and the parameters cannot adjust dynamically, presenting the method that optimizing parameters by improved genetic algorithm. The simulation results show fuzzy PID controller based on the improved genetic algorithm has a better performance. Second, it is also vital to optimize the technological conditions in the process of roasting limestone. Through the fuzzy control of air-fuel ratio, the oxygen content in the flue gas can be controlled and the combustion efficiency can be maximized.
Keywords :
combustion; flue gases; fuzzy control; genetic algorithms; intelligent control; kilns; optimal control; temperature control; three-term control; GA fuzzy PID algorithm; air-fuel ratio; combustion chamber; combustion control system; flue gas; fuzzy PID controller; fuzzy PID intelligence; fuzzy control; gas flow; improved genetic algorithm; intelligent temperature control; lime kiln temperature system; low combustion efficiency; optimal control; oxygen content; roasting limestone; sleeve kiln; Fuzzy control; Genetic algorithms; Kilns; Niobium; Sociology; Statistics; Temperature control; Fuzzy PID; GA Fuzzy Control; Lime; Optimal Control; Temperature Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6895704
Filename :
6895704
Link To Document :
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