On-line estimation of variable parameters of synchronous machines using a novel adaptive algorithm - Principles and procedures

被引：4
|
作者：
Zhao, ZM [1 ]
Xu, LY [1 ]
Jiang, JG [1 ]
机构：
[1] OHIO STATE UNIV,DEPT ELECT ENGN,COLUMBUS,OH 43210
来源：
IEEE TRANSACTIONS ON ENERGY CONVERSION | 1997年 / 12卷 / 03期
关键词：
D O I：
10.1109/60.629703
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
A novel adaptive algorithm is presented for on-line estimation of variable parameters of a synchronous machine (SM) as a function of the operating conditions. The concept of Synthesized Information Factor (SIF) is proposed as the core of the novel adaptive algorithm. For continuous process, SIF optimally combines information from the past with that at the present. Adaptive principles based on SIF are discussed and the adaptive estimation procedures are developed. Computer simulation results are given to highlight the advantages of the novel adaptive algorithm over conventional Least Mean Square (LMS) and Recurrence Least Square (RLS) algorithms. Application and experimental verification of this novel adaptive algorithm is presented in detail in the companion paper [1].
引用
收藏
页码：193 / 199
页数：7
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