๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Estimation of synchronous machine parameters from performance relations

โœ Scribed by R. Natarajan; Jun Wang

Publisher
Elsevier Science
Year
1991
Tongue
English
Weight
515 KB
Volume
20
Category
Article
ISSN
0378-7796

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Estimation of synchronous machine parame
Estimation of synchronous machine parameters by standstill tests
โœ M. Hasni; O. Touhami; R. Ibtiouen; M. Fadel; S. Caux ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 790 KB

In this paper we present the results of a time-domain identification procedure to estimate the linear parameters of a salient-pole synchronous machine at standstill. A new approach is proposed for the estimation of synchronous machine coupled to DC-chopper and Pseudo Random Binary Sequences excitat

Estimation of synchronous machine parame
Estimation of synchronous machine parameters from multisine stand-still frequency response test data
โœ B. Mpanda-Mabwe; K. Beya; M. Crappe; M. Delhaye ๐Ÿ“‚ Article ๐Ÿ“… 1995 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 424 KB

This paper is dealing with high power broadband signals (multisines) applied in Stand-Still Frequency Response (SSFR) technique for the measuring and modelling of electrical machine characteristics. The powerful excitation signals used are periodic functions with controllable amplitude spectrum. The

Synchronous machine parameters estimatio
Synchronous machine parameters estimation using a new genetic-based algorithm
โœ Khaled M. El-Naggar; Hosam K. M. Youssef ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 103 KB ๐Ÿ‘ 2 views

A new genetic-based algorithm (GA) for estimating synchronous machine parameters from frequency tests is presented in this paper. GAs are general search techniques based on biological concepts and are very suitable for solving optimization problems. The proposed method uses a set of digital measurem