基于扩展卡尔曼滤波的异步电机无速度传感器矢量控制  

Speed Sensorless Field Oriented Control of Induction Motors Based on Extended Kalman Filter

作　　者：张伟[1] 陈丹江[1] 

机构地区：[1]浙江万里学院,宁波315100

出　　处：《浙江万里学院学报》2007年第5期29-34,共6页Journal of Zhejiang Wanli University

摘　　要：异步电机无速度传感器矢量控制系统需解决两个问题:转速的估计和转子磁链的观测.电机状态方程由于存在状态变量的乘积项,是一组非线性状态方程,为了对电机状态方程进行状态估计,得到电机的转子磁链和转速信号,文章采用扩展卡尔曼滤波进行状态估计.基于数字电机控制专用DSP开发系统,通过软件实现扩展卡尔曼滤波对磁链和转速的估计,获得了令人满意的实验结果.证明扩展卡尔曼滤波算法对磁链和转速的实时估计是非常准确的,由此构成的无速度传感器系统具有良好的静、动态性能.Two problems must be solved in the speed, sensorless Field Oriented Control of induction motor drive：the speed estimation and rotor flux observation.Because of the multiplication terms of state variables, the induction motor model is the non-linear state equations.To estimate the state variables of motor model and to obtain the rotor flux and velocity signals, the paper proposes a method to estimate them using extended Kalman filter.Experiment is based on the DSP design system for digital motor control.Software programs are used to can-y out extended Kalman filter algorithm to estimate the rotor speed and fluxes. The satisfying experimental results prove that extended Kalman filter algorithm can estimate real time rotor speed and flux very accurately,and based on which the speed sensorless drive system has good static and dynamic performance.

关 键 词：异步电机 无速度传感器矢量控制 转速估计 转子磁链观测 扩展卡尔曼滤波 数字信号处理器(DSP) 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TM343[自动化与计算机技术—控制科学与工程]