基于BFCM-iWM模糊规则自提取的水泥分解炉温度控制

针对水泥分解炉温度难以控制、模型建立困难且通用性差的问题,提出一种基于信任度模糊C聚类和改进查表法(BFCM-iWM)模糊规则自提取的温度控制方法.首先,采用信任度模糊C聚类方法(BFCM)从分解炉运行样本数据中提取样本的信任度;然后,利用改进查表法(iWM)提取模糊控制规则,减小噪声和坏点数据对规则提取的影响,以温度偏差和偏差变化率为输入量、喂煤增量为输出量构造控制器实现对温度的控制.实验结果表明,提取到的控制规则鲁棒性好、准确性高、分解炉温度控制效果良好.

Temperature control of cement decomposing furnace based on BFCM-iWM fuzzy rules extraction

In order to overcome the difficulties of temperature controlling, model establishment and poor universality, a decomposing furnace temperature control method is proposed using fuzzy rules extraction based on fuzzy C clustering with belief and improved Wang-Mendel(BFCM-iWM). More specifically, fuzzy C clustering with belief(BFCM) is adopted to extract the sample belief from the running data of decomposing furnace. Then based on this, improved Wang-Mendel(iWM) is utilized to extract fuzzy control rules to reduce the influence of noise and bad point data on rule extraction. The controller, which takes the temperature deviation and deviation change rate as the input quantity and takes the coal feeding increment as the output quantity, is constructed to achieve the temperature control. The simulation results show that the proposed method performs better in robustness, accuracy and temperature controlling.