Artificial neural network based vector control of interior permanent magnet synchronous motor
Date of Issue2002
School of Electrical and Electronic Engineering
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).
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Nanyang Technological University