On-line Measurement of Coal Storage in Ball Mill Based on Fuzzy Neural Network
In this paper, a new on-line measurement approach for coal storage in ball mill was presented. In the approach, Fuzzy neural network modeling was adopted to construct the measurement model for coal storage in ball mill. During the modeling, Fuzzy neural network model was employed to approximate the non-linearity of coal storage in ball mill, coal supply, sirocco flux, recycle wind flux ，export temperature and pressure difference are selected as the measure variable. Subtractive-clustering algorithm was used to determine the optimum number of clusters; this made the fuzzy neural network model simple and accurate. Based on it, an instrument based on PC104 was developed and the test in laboratory was conducted. The test results showed that the measure error was lower and acceptable. It laid a foundation for the optimal control of coal storage in ball mill.
ball mill coal storage fuzzy neural network PC104
XIE Youcheng REN Ping
College of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410076,China
国际会议
北京
英文
2007-08-05（万方平台首次上网日期，不代表论文的发表时间）