电器与能效管理技术Issue(5)：20-23,4.DOI:10.16628/j.cnki.2095-8188.2017.05.005
基于最小二乘法对时变参数测量的新方法
New Measurement Method of Time-Varying Parameter Based on Least Square Method
摘要
Abstract
In view of the tracking performance defect in measuring the time-varying parameters by using the recursive least squares (RLS) algorithm.A new RLS method based on alterable forgetting factor was put forward.It can be improved on the convergence rate and the trace ability of algorithm by regulating the value of forgetting factor when measuring the time-varying parameters of power system.The simulation results show that the proposed method is faster in convergence rate and higher in parameter estimation accuracy as well as the noise resistance is better in a certainly low SNR environment.关键词
递推最小二乘法/可变遗忘因子/收敛速度/时变参数Key words
recursive least squares method/alterable forgetting factor/convergence rate/time-varying parameter分类
信息技术与安全科学引用本文复制引用
柯善文,刘洲洲..基于最小二乘法对时变参数测量的新方法[J].电器与能效管理技术,2017,(5):20-23,4.基金项目
国家自然科学基金(61401499) （61401499）
