Open AccessModel predictive PWM for AC motor drives
Author(s) -
Jiang Dong,
Li Qiao,
Shen Zewei
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.2016.0456
Subject(s) - pulse width modulation , ripple , control theory (sociology) , power electronics , motor drive , converters , torque ripple , ac motor , model predictive control , electromagnetic interference , power (physics) , commutation , computer science , electronic engineering , engineering , induction motor , electric motor , direct torque control , physics , voltage , electrical engineering , control (management) , mechanical engineering , quantum mechanics , artificial intelligence
This study is for model predictive pulse‐width modulation (PWM) for power electronics converters as AC motor drives. Compared with conventional PWM, model predictive PWM (MPP) employs the prediction model of PWM effect, and utilises the pulse arrangement freedoms to improve the performance of switching losses, current ripple and electromagnetic interference for the converter system. This study contains five parts including introduction, current ripple prediction method, variable switching frequency PWM, MPP for multi‐level inverters and conclusions. The methods introduced in this study have been and can be applied in traction and industry motor drives.