Open AccessQuasi‐ Z source indirect matrix converter‐fed induction motor drive
Author(s) -
Guo Mingzhu,
Liu Yushan,
Ge Baoming,
Liu Shuo,
Li Xiao,
Ferreira Fernando J.T.E.,
Almeida Anibal T.
Publication year - 2020
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.2019.0618
Subject(s) - control theory (sociology) , duty cycle , induction motor , motor drive , engineering , rectifier (neural networks) , voltage , dropout voltage , voltage divider , inverter , computer science , electrical engineering , control (management) , mechanical engineering , stochastic neural network , artificial intelligence , machine learning , recurrent neural network , artificial neural network
This study proposes an induction motor drive system based on the LC filter integrated quasi‐ Z source indirect matrix converter (QZS‐IMC). The proposed drive system shows the following features: (i) variable voltage control of inductor motor is achieved by the rectifier stage and variable frequency control is achieved by the inverter stage; (ii) automatic low voltage ride through ability enhances capability of the proposed drive against grid voltage sag; (iii) wide voltage gain range ensures the drive system with high performance in wide speed range; (iv) there is no additional input filter. The voltage control implementation in the rectifier stage is proposed to benefit low voltage stress and low converter loss. The control method combines motor vector control, minimum shoot‐through duty cycle and maximum modulation indexes. As a result, the input power supply voltage and dc‐link voltage are maximally utilised and the power loss is reduced. Simulation and experimental results verify the proposed QZS‐IMC motor drive system.