基于并联Hammerstein模型的无刷电机辨识  

Identification of Brushless Motor Based on Parallel Hammerstein Model

作　　者：谭力宁[1] 韩海涛 马红光[1] 芦利斌[1] 金国栋[1] 

机构地区：[1]第二炮兵工程大学701教研室,陕西西安710025

出　　处：《信息与控制》2013年第5期577-582,共6页Information and Control

基　　金：国家自然科学基金资助项目(61174207;61074072)

摘　　要：针对线性模型不能全面反映无刷电机的动态特性的问题,提出使用并联Hammerstein非线性模型对无刷电机进行辨识.首先通过类比Volterra级数模型对并联Hammerstein模型的静态非线性模块进行建模;进而给出了一种基于最小均方误差准则的辨识算法,对模型中线性动态子系统的频率响应函数进行估计;最后成功地利用该方法对某无刷电机进行了辨识.实践表明,使用该方法辨识得到的电机非线性模型在精度上较线性模型有较大提高,并且与Volterra级数模型相比只需很小的计算量.For the problem that the linear model of brushless motor can＇t fully reflect its dynamical characteristic, a parallel Hammerstein nonlinear model is applied to the identification of brushless motor. Firstly, the static nonlinear modes of Hammerstein model are established by analogy with Volterra series models. Then, in order to estimate frequency response functions of linear dynamic subsystems, a method based on the minimum mean square error criterion is proposed. Finally, the model of a certain type brushless motor is identified by the proposed method. The experiment results show that the identified nonlinear model has higher accuracy than conventional linear model and needs less calculating quantity than Volterra series model.

关 键 词：非线性系统 并联Hammerstein模型 非参数模型辨识 无刷电机 

分 类 号：TP271.64[自动化与计算机技术—检测技术与自动化装置]