基于T_S模糊辨识的油液真空脱水效率研究

doi:10.16182/j.issn1004731x.joss.201701005

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (1): 27-33.doi: 10.16182/j.issn1004731x.joss.201701005

基于T_S模糊辨识的油液真空脱水效率研究

刘阁, 陈彬^*, 张贤明

重庆工商大学废油资源化技术与装备教育部工程研究中心,重庆 400067

收稿日期:2015-04-22 修回日期:2015-07-04 出版日期:2017-01-08 发布日期:2020-06-01
作者简介:刘阁(1973-),女,重庆,硕士,副教授,研究方向为油水分离动力学。
基金资助:
国家自然科学基金(51375516),重庆基础与前沿研究(cstc2016jcyjA0185),教育部平台科技项目(fykf201509)

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

Liu Ge, Chen Bin^*, Zhang Xianming

Engineering Research Centre for Waste Oil Recovery Technology and Equipment, Ministry of Education,Chongqing Technology and Business University, Chongqing 400067, China

Received:2015-04-22 Revised:2015-07-04 Online:2017-01-08 Published:2020-06-01

摘要/Abstract

摘要： 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。

关键词: 真空脱水, 脱水率, C均值聚类, T_S模糊辨识, 优化

Abstract: The process of vacuum dehydration from oil is time-varying, nonlinear, and difficult to be specified with mathematical methods. Takagi-Sugeno (T_S) fuzzy model of vacuum dehydration rate of oil purifier is proposed, which a method of applying Fuzzy C-Means (FCM) clustering algorithm and using the least square method identifying the consequent parameters. The nonlinear mapping is set up from four influence factors (the initial water content, the vacuum pressure , the initial temperature and running time) to vacuum dehydration rate using the T_S fuzzy model. The simulation and experimental results show the T_S model reflects the laws of the influences of initial moisture content on dehydration rate is larger, running time is a more optimal value, there is a monotonous variation trend of the influences of vacuum pressure and temperature on dehydration rate, and the model has preferable learning capabilities, which performs effectively in predicting vacuum dehydration rate．

Key words: vacuum dehydration, dehydration rate, FCM, T_S fuzzy identification, optimization

中图分类号:

TM6
TP18

刘阁, 陈彬, 张贤明. 基于T_S模糊辨识的油液真空脱水效率研究[J]. 系统仿真学报, 2017, 29(1): 27-33.

Liu Ge, Chen Bin, Zhang Xianming. Study on Vacuum Dehydration Rate from Oil Based on T_S Fuzzy Identifying Model[J]. Journal of System Simulation, 2017, 29(1): 27-33.

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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

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