8. An analytical space vector pulse width modulation method for multilevel inverters

2016 ◽  
pp. 135-162
2014 ◽  
Vol 7 (6) ◽  
pp. 1590-1602 ◽  
Author(s):  
Yilmaz Sozer ◽  
David A. Torrey ◽  
Aparna Saha ◽  
Hung Nguyen ◽  
Nathaniel Hawes

2012 ◽  
Vol 03 (1) ◽  
pp. 49-55
Author(s):  
G. Sree Lakshmi ◽  
◽  
Dr. S. Kamakshaiah ◽  
Dr. G. Tulasi Ram Das ◽  
◽  
...  

2021 ◽  
Vol 54 (4) ◽  
pp. 617-622
Author(s):  
Akhilesh Kumar ◽  
Pradip K. Sadhu ◽  
Jay Singh

Nowadays, the matrix converter (MC) has become the prominent power converter. Its unique qualities like single-stage ac to ac conversion, bidirectional power flow, sinusoidal response, unity power factor, and no need for dc-link makes it superior among all power converters. This archival literature investigates the various pulse width modulation (PWM) methods and proposed a novel pulse width modulation (PWM) method named Time Equivalent space vector pulse width modulation. In this article this novel modulation method is compared with exiting carrier-based pulse width control and space vector control methods for a 3 phase to 3 phase matrix converters. Simulation model is built in Matlab and comparative analysis based on total harmonic distortion (THD) will be given for different methods. Simulation results revealed that total harmonic distortion (THD) of Time Equivalent space vector PWM is least so this novel method is best and more efficient in comparison to others.


Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2598 ◽  
Author(s):  
Qiwu Luo ◽  
Jian Zheng ◽  
Yichuang Sun ◽  
Lijun Yang

Dual Y shift 30° six-phase motors are expected to be extensively applied in high-power yet energy-effective fields, and a harmonic-suppressing control strategy plays a vital role in extending their prominent features of low losses and ultra-quiet operation. Aiming at the suppression of harmonic voltages, this paper proposes a six-phase space vector pulse width modulation method based on an optimization model, namely OM-SVPWM. First, four adjacent large vectors are employed in each of 12 sectors on a fundamental sub-plane. Second, the optimization model is constructed to intelligently determine activation durations of the four vectors, where its objective function aims to minimize the synthesis result on a harmonic sub-plane, and its constraint condition is that the synthesis result on the fundamental sub-plane satisfies a reference vector. Finally, to meet the real-time requirement, optimum solutions are obtained by using general central path following algorithm (GCPFA). Simulation and experiment results prove that, the OM-SVPWM performs around 37% better than a state-of-the-art competitive SVPWM in terms of harmonics suppression, which promise the proposed OM-SVPWM conforms to the energy-effective direction in actual engineering applications.


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