Open AccessVibration prediction in fault‐tolerant flux‐switching permanent‐magnet machine under healthy and faulty conditions
Author(s) -
Mao Yanxin,
Liu Guohai,
Zhao Wenxiang,
Ji Jinghua
Publication year - 2017
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 97
eISSN - 1751-8679
pISSN - 1751-8660
DOI - 10.1049/iet-epa.2016.0211
Subject(s) - permeance , vibration , cogging torque , magnet , magnetomotive force , counter electromotive force , torque , rotor (electric) , control theory (sociology) , engineering , finite element method , air gap (plumbing) , electromotive force , fault (geology) , topology (electrical circuits) , structural engineering , mechanical engineering , electromagnetic coil , physics , computer science , acoustics , materials science , electrical engineering , membrane , genetics , biology , control (management) , thermodynamics , permeation , seismology , geology , composite material , artificial intelligence
This study investigates the vibration behaviour of a fault‐tolerant flux‐switching permanent‐magnet (FT‐FSPM) machine due to electromagnetic origins. The FT‐FSPM machine adopts fault‐tolerant teeth and odd rotor pole to obtain more symmetric back electromotive force and reduced cogging torque. However, this topology suffers from high local magnetic force and unbalanced radial force, thus producing significant vibration and noise. In order to predict the vibration characteristic generated by the structure, electromagnetic and structural models are developed. First, the air‐gap field is qualitatively analysed by using the rotor permeance to modulate the magnetomotive force. Second, the radial forces during healthy and faulty operations are compared by using finite element method. Then, the most significant vibration modes are calculated to determine how the machine is excited. Furthermore, the vibration behaviour of the FT‐FSPM machine under healthy and faulty conditions is predicted by structural analysis. Finally, the experimental measurements are given for verification.