摘要
为了灵活处理复杂的大型同步发电机的突然三相短路试验的动态数据,本文给出了如何利用LabWindows/CVI设计软件开发了大型同步发电机动态参数辨识虚拟仪器(VI)的方法,其中重点阐述了通过混合编程原理调用MATLAB中的小波消噪法(wden())去除噪声对动态测试信号的干扰和利用非线性最小二乘回归算法(lsqcurvefit())直接对发电机的各试验的数学模型中各分量优化组合后进行参数辨识。
In order to flexibly process complicated dynamical data of sudden threephase short circuit test of large-sized synchronous generators, this paper presents a virtual instrument （VI） method to identify dynamical parameters of large-sized synchronous generators by LabWindows/CVI software, and emphasizes the wavelet eliminating-noise method （wden（） ） of MATLAB by the mixed programming principle which can eliminate the interference of the noise to dynamical test signal and the nonlinear least square approach （ lsqcurvefit（ ） ） which can directly identify the parameters of synchronous generators after several components of mathematical model of several tests are optimized and grouped.
出处
《防爆电机》
2006年第2期39-41,18,共4页
Explosion-proof Electric Machine
