Parameters Identification of Twelve-phase Synchronous Generator Based on Levenberg-Marquardt Algorithm

被引：0

作者：

Chen, Wei ^{[1
]}

Gong, Qingwu ^{[1
]}

Zhang, Lidan ^{[1
]}

Yang, Mulan ^{[1
]}

机构：

[1] Wuhan Univ, Sch Elect Engn, Wuhan, Peoples R China

来源：

ICEMS 2008: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1- 8 | 2008年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In terms of Gauss-Newton (G-N) nonlinear least-squares algorithm, if J(x) is rank-deficient, then either the Gauss-Newton method cannot work well, or the algorithm converges to a non-stationary point. To overcome the difficulty, in this paper we consider employing trust-region technique, and propose Levenberg-Marquardt (L-M) algorithm. In L-M algorithm, damping term mu I-k is added to G-N algorithm iterative method, i.e. L(x(k))=G(x(k))+mu I-k. This algorithm was applied to parameter identification of twelve-phase synchronous generator, and a better simulation identification result has been achieved, thus proving the validity of identification algorithm.

引用

页码：3992 / 3995

页数：4