Design of Intelligent Temperature Control System for Iron Ore Reduction
The precision of temperature control is very important for the iron ore reduction performance test.Due to the conventional PID controller can not be parameter self-tuning on line,this paper proposed that control scheme based on the fuzzy adaptive PID intelligent temperature by combining with fuzzy control technology.By simulating reduction furnace heating and cooling process,it is shown that iron heating rate and heat preservation process achieve good control.Using Matlab fuzzy control toolbox and simulink simulation,the result shows that the self-tuning PID controller has high control precision,small overshoot,good dynamic performance characteristics.
fuzzy controller temperature control parameter self-tuning Matlab simulink
Dong Xie Jinliang Shi Guorong Cheng Yunjun Wu
School of Electric & Information Engineering,Chongqing University of Science and Technology,Chongqing,China
国际会议
沈阳
英文
1324-1327
2012-09-26（万方平台首次上网日期，不代表论文的发表时间）