基于T_S模糊辨识的油液真空脱水效率研究

Study on Vacuum Dehydration Rate from Oil Based on T_S Fuzzy Identifying Model

油液真空脱水过程具有时变和非线性的特点,很难用精确的数学模型表示,因而建立基于模糊C均值聚类算法和递推最小二乘法的T_S模糊模型对滤油机的真空脱水效率进行辨识,运用T_S模糊模型建立了初始含水率、真空压力、初始温度和运行时间四个影响因子到真空脱水效率的非线性映射。仿真与实验结果表明,所建T_S模糊模型反映了初始含水率对脱水率的影响较大,真空压力和温度对脱水率呈单调变化的趋势,运行时间存在一个较优值等规律,其具有较好的学习能力,在辨识真空脱水中效果较好。

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