黄智慧

个人信息Personal Information

工程师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:计算机科学与技术学院

学科:电机与电器

联系方式:13940904482

电子邮箱:huangzhihui@dlut.edu.cn

扫描关注

论文成果

当前位置: 大工黄智慧 >> 科学研究 >> 论文成果

基于改进RLS算法的故障电流参数估计

点击次数:

论文类型:期刊论文

发表时间:2022-06-28

发表刊物:中国电机工程学报

所属单位:电子信息与电气工程学部

期号:15

页面范围:2460-2469

ISSN号:0258-8013

摘要:Because of the decaying DC component, the key technologies of controlled fault interruption (CFI) include rapid accurate fault parameters estimation and zero-crossing prediction. The Taylor series expansion of the exponential term was kept the first two, and then the fault parameters were estimated using recursive least square (RLS) algorithm. A compensation formula was proposed based on the analysis to the error of truncated Taylor series. The fault current with harmonic and without harmonic was simulated using Matlab and the results show that the proposed CFI algorithm can get sufficiently accurate parameters during 15 ms and the error of available zero-crossing was less than ±0.2 ms. Finally, the simulation results on fault recording data confirmed the effect of the algorithm.

备注:新增回溯数据