Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/3850
Title: | Artificial neural network based vector control of interior permanent magnet synchronous motor | Authors: | Yang, Yi | Keywords: | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems | Issue Date: | 2002 | Abstract: | Fast response and quick recovery from load disturbances and insensivity to parameter variations are some of the principal criteria in designing and implementing a high performance drive system. This these presents a novel controller for the robust and precise speed control of interior type permanent magnet synchronous motor (IPMSM). | URI: | http://hdl.handle.net/10356/3850 | Schools: | School of Electrical and Electronic Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
EEE-THESES_1671.pdf Restricted Access | 4.1 MB | Adobe PDF | View/Open |
Page view(s) 50
516
Updated on Mar 16, 2025
Download(s)
6
Updated on Mar 16, 2025
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.