摘要
站用异步电动机参数的精度直接影响换流站水冷系统中驱动电机的控制效果。在转速基本恒定条件下建立了站用异步电动机两相静止坐标系下的待辨识模型,针对在使用最小二乘类算法对站用异步电机进行参数辨识过程中遇到的转速波动、待辨识参数耦合和数据处理等关键性问题,给出了相应的解决方案。通过系统仿真的验证,并搭建电机参数辨识平台进行了电机参数辨识实验,验证了解决方案的有效性。
The accuracy of parameters of station asyn- chronous motor directly affects the control ability of the high-performance motor in converter. An identification model of induction motor described in two-phase stationary coordinate system is built with the condition of constant speed. And such key issues as speed fluctuation, the coupled problem of parameter identification, data processing and data saturation problem, etc. that emerge in parameter i- dentification of induction motor are discussed by using Least- Squares class algorithm, and relative solution schemes are given. In the end, the parameter identification experiment of induction motor and system simulation both verify the ef- fectiveness of the solution schemes.
出处
《现代电力》
北大核心
2013年第3期49-53,共5页
Modern Electric Power
关键词
异步电动机
参数辨识
数据处理
最小二乘类算法
, induction motor
parameter identification
dataprocessing
Least-Squares class algorithm
