Five-Phase Scalar PWM with Zero Averaged Common-Mode Voltage and its Application to Closed-Loop Current Control

Author(s):  
Hung-Chi Chen ◽  
Yi-Wen Hsu ◽  
Che-Yu Lu
2014 ◽  
Vol 986-987 ◽  
pp. 1048-1053
Author(s):  
Qun Tao An ◽  
Guang Lin Wang ◽  
Ming Hang Duan ◽  
Li Sun

Dual inverter fed open-end winding induction motor (OEW-IM) is a new solution for multilevel drive. Comparing with traditional multilevel converters, the dual inverter is being interested in for its more flexible current control, the absence of fluctuating neutral point, and fault-tolerant capability. This paper analyzes the potential common-mode voltage (CMV) in the open-end winding induction motor system, and proposes a new space vector PWM (SVPWM) strategy to reduce the CMV. The proposed method is validated by simulations and experiments.


2017 ◽  
Vol 27 (02) ◽  
pp. 1850028 ◽  
Author(s):  
Eedara Aswani Kumar ◽  
Koritala Chandra Sekhar ◽  
Rayapudi Srinivasa Rao

This paper presents a reduced control set model predictive control (RCSMPC) method for three-phase T-type neutral-point-clamped (NPC) inverter. The whole control set (WCS) consists of all the 27 switching states of T-type NPC inverter. The reduced control set (RCS) with 19 switching states is formed from WCS by excluding the switching states with common mode voltage (CMV) value higher than one-sixth of input DC voltage [Formula: see text]. With RCS, single-objective model predictive current control method can restrict the CMV peak value to [Formula: see text]. To further reduce the CMV below this threshold, a cost function with the weighted sum of two control targets is formulated in the RCSMPC method. The two control targets of RCSMPC method are CMV mitigation and load current control. The weight for CMV is called bias factor. The RCSMPC method is computationally efficient, as the number of switching states is less than that of WCSMPC. To further reduce the computational burden, CMV values corresponding to all the switching states are calculated offline and stored in memory. Robustness of both the methods is investigated with parameter deviations at different bias factors and reference currents. The proposed method is validated using simulation and experimental results and compared with the existing methods.


2017 ◽  
Vol 64 (9) ◽  
pp. 6920-6929 ◽  
Author(s):  
Haitao Yang ◽  
Yongchang Zhang ◽  
Guofeng Yuan ◽  
Paul D. Walker ◽  
Nong Zhang

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