液压泵控缸伺服系统T-S模糊模型在线辨识研究  

Research on online identification of T-S fuzzy model for hydraulic servo system with pump controlled cylinder

作　　者：郑维[1] 王洪斌[1,2] 张志明 葛俊礼[2] 任素波 ZHENG Wei;WANG Hong-bin;ZHANG Zhi-ming;GEJun-li;REN Su-bo(Institute of Electric Engineering Yanshan University, Qinhuangdao 066004, China;Yanshan University Branch of China National Heavy Machinery Research Institute, Qinhuangdao 066004, China;Institute of Mechanical Engineering Yanshan University, Qinhuangdao 066004 , China)

机构地区：[1]燕山大学电气工程学院,河北秦皇岛066004 [2]中国重型机械研究院燕山大学分院,河北秦皇岛066004 [3]燕山大学机械工程学院,河北秦皇岛066004

出　　处：《重型机械》2017年第6期23-27,共5页Heavy Machinery

基　　金：国家自然科学基金(61473248);中国河北省自然科学基金(F2016203496)

摘　　要：以电机直驱泵控缸伺服系统为研究对象,针对液压系统中存在非线性不确定性和时变特性,对液压伺服系统建立T-S模糊模型,并对其进行模态分析计算。首先基于改进的模糊分割聚类算法,给出聚类数c的优选方法,构建液压系统模型。然后采用带有遗忘因子的递推最小二乘法,对系统模型进行在线参数辨识,得到液压伺服系统的T-S模糊模型。进而实现了伺服缸无扰速度补偿及负载刚度摄动的抑制。最后通过仿真实验对控制策略进行验证,结果显示该辨识方法具有较高的逼近精度和较好的泛化能力。The T-S fuzzy model of hydraulic servo system with the direct drive pump was established, the mo-dal was conducted and analyzed as well, for the nonlinear uncertain and time-varying characteristics of the hy-draulic system. Firstly, based on the improved fuzzy clustering scheme, the optimal selection method of cluste-ring number c was given, and the hydraulic system model was built. Secondly, the recursive least squares method with forgetting factor was used to identify the parameters of system model, and the T-S fuzzy model of hydraulic servo system was obtained. And then no disturbance velocity compensation of the servo cylinder was realized, and the load stiffness perturbation was reduced. Finally, simulation experiments were given to show the better approximation accuracy and generalization ability of the proposed scheme.

关 键 词：液压伺服系统 T-S模糊模型 自适应模糊c聚类参数 

分 类 号：TH137.33[机械工程—机械制造及自动化]