Temperature Control in Big-Scale Rotary Kiln by Using Grey Neural Network
In large-scale rotary kiln applications,it is important to control the internal temperature of the kilns. However,there are many problems in designing such a control system due to long system s response delay,dead-zone and saturation of the actuator mechanisms,uncertainties in the system model and parameters,and process noise. To overcome these problems,this article has proposed a new type of kiln temperature controller,which is based on the grey theory and neural network (NN). It can effectively solve the problems mentioned above by incorporating predictive ability of grey system and adaptive ability of a NN. We tested the proposed controller via extensive simulation and the result was very promising.
grey system neural network predictive adaptive.
Jiaoyu Liu Xin He
Department of Automation,Wuhan University of Technology,Hubei 430070,China
国际会议
2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)
北京
英文
2851-2856
2009-08-16（万方平台首次上网日期，不代表论文的发表时间）