基于Powerlink与UKF算法的异步电机矢量控制系统参数辨识研究  

A Parameters Identification Method Based on Powerlink and UKF for Vector Control of Asynchronous Motor

作　　者：廖晓文[1] 陈政石[1] 

机构地区：[1]广东石油化工学院自动化系,茂名525000

出　　处：《机电一体化》2011年第3期48-50,62,共4页Mechatronics

摘　　要：针对异步电机矢量控制系统参数辨识算法时间复杂度高,难以满足在线辨识要求,及基于网络的电机群控系统上位机计算能力浪费严重等问题,提出基于工业以太网Powerlink与无轨迹卡尔曼滤波算法的参数辨识方法,并以转子电阻辨识为例作了说明。系统性能分析与实验结果表明,这种将参数辨识算法放于上位机处理的方法,可以在现有硬件条件基本不变的情况下满足对电机进行高性能控制的要求。In view of high time complexity of parameters identification algorithm for vector control of asynchronous motor can not meet the demand of online identification and the computation ability of superior computer based on networks is waste seriously, a parameter identification method based on industrial Ethernet and unscented Kalman filter is proposed. Furthermore, rotor resistance identification is given as an example. The system performance the experimental result show demand of high performance that the parameters identification procedure executed in superior machine control of asynchronous motor with basically unchanged existing hardware. analysis and can meet the

关 键 词：工业以太网 POWERLINK UKF 矢量控制 参数辨识 

分 类 号：TM343[电气工程—电机] TP273[自动化与计算机技术—检测技术与自动化装置]