基于Hankel相关函数的电机闭环投影子空间辨识  

Identification of Closed Loop Projection Subspace for Motor Based on Hankel Correlation Function

作　　者：佘明洪[1,2] She Minghong(School of Automation, Chongqing University, Chongqing 400044, China;Computer College, Chongqing College of Electronic Engineering, Chongqing 401331, China)

机构地区：[1]重庆大学自动化学院,重庆400044 [2]重庆电子工程职业学院计算机学院,重庆401331

出　　处：《系统仿真学报》2018年第6期2058-2065,共8页Journal of System Simulation

基　　金：国家自然科学基金(61403055);研究生科技创新基金优秀新生科研培育项目(CDJXS12171101);重庆市教委科学技术研究项目(KJ1729403)

摘　　要：为解决闭环系统辨识中存在模型参数估计偏差较大的问题,给出闭环子空间辨识模型及基于相关函数估计的状态空间模型,通过相关函数估计和随后进行的零空间投影,对识别框架的分块Hankel矩阵进行填充;基于相关数据时间偏移集上的相同投影,通过数值计算RQ分解实现投影的乘法操作,获得未知设备系统模型的动力学估计;通过在感应电动机闭环系统上的仿真实验显示,所提方法具有更高的辨识精度,并通过真实环境下的电机硬件对辨识算法性能进行了验证。To solve estimation deviation problem of model parameter in the closed-loop system identification, the subspace identification model and state space model based on the estimation of the correlation function are presented, and through the correlation function estimation and zero space followed by projection, the block Hankel matrix of identification framework was filled so as to obtain the scope of the extended observability matrix; on the basis of the same projection on the time offset set of related data, the RQ decomposition of the projection is calculated by numerical calculation, and the dynamic estimation of the system model is obtained. The simulation experiment on the closed loop system of induction motor indicates that the proposed method has higher identification accuracy, and it is verified by the hardware in the real environment.

关 键 词：相关函数 HANKEL矩阵 闭环系统 子空间辨识 感应电动机 

分 类 号：TM75[电气工程—电力系统及自动化]