Open AccessFinite set model predictive control method for quasi‐Z source inverter‐permanent magnet synchronous motor drive system
Author(s) -
Dong Kangda,
Shi Tingna,
Xiao Shuxin,
Li Xinmin,
Xia Changliang
Publication year - 2019
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.2018.5486
Subject(s) - control theory (sociology) , inverter , duty cycle , model predictive control , z source inverter , inductor , synchronous motor , pulse width modulation , voltage , computer science , motor drive , engineering , control (management) , electrical engineering , mechanical engineering , artificial intelligence
In this study, a finite set model predictive control method is proposed for the quasi‐Z source inverter‐permanent magnet synchronous motor drive system. In the proposed method, the control variables of quasi‐Z source network and motor are controlled uniformly, which can avoid the conflicts between the shoot‐through duty cycle and the inverter modulation coefficient during the dynamic adjustment process in traditional two‐stage control method. Due to the particularity of the motor connected to the quasi‐Z source inverter, a power compensation control method is used to obtain the inductor current reference value. Whether the shoot‐through vector is chosen as the optimal vector is determined by the inductor current, and the influence of undershoot phenomenon of capacitor voltage, which results from the non‐minimum phase characteristics of quasi‐Z source inverter, is avoided. Steady‐state, dynamic, and input voltage dip experiments are performed on a quasi‐Z source inverter‐permanent magnet synchronous motor drive system. The experimental results verify the feasibility of the proposed predictive control method. Besides, compared with traditional two‐stage control method, the proposed method has quicker response speed and stronger anti‐disturbance ability.