Space vector pulse width modulation of three-level inverter extending operation into over modulation region

被引:112
作者
Mondal, SK [1 ]
Bose, BK
Oleschuk, V
Pinto, JOP
机构
[1] AeroVironment Inc, ESDC Div, Monrovia, CA 91006 USA
[2] Univ Tennessee, Dept Elect & Comp Engn, Knoxville, TN 37996 USA
[3] Moldavian Acad Sci, Power Engn Inst, MD-2028 Kishinev, Moldova
[4] Univ Tennessee, Power Elect Res Lab, Knoxville, TN 37996 USA
[5] Univ Fed Mato Grosso Sul, BR-79070900 Campo Grande, MS, Brazil
关键词
induction motor drive; overmodulation; space vector PWM; three-level inverter;
D O I
10.1109/TPEL.2003.809342
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Multilevel voltage-fed inverters with space vector pulse width modulation have established their importance in high power high performance industrial drive applications. The paper proposes an overmodulation strategy of space vector PWM of a three-level inverter with linear transfer characteristic that easily extends from the undermodulation strategy previously developed by the authors for neural network implementation. The overmodulation strategy is very complex because of large number of inverter switching states, and hybrid in nature, that incorporates both undermodulation and overmodulation algorithms. The paper describes systematically the algorithm development, system analysis, DSP based implementation, and extensive evaluation study to validate the modulator performance. The modulator takes the command voltage and angle information at the input and generates symmetrical PWM waves for the three phases of an IGBT inverter that, operates at 1.0 kHz switching frequency. The switching states are distributed such that the neutral point voltage always remains balanced. An open loop volts/Hz; controlled induction motor drive has been evaluated extensively by smoothly varying the voltage and frequency in the whole speed range that covers both undermodulation and overmodulation (nearest to square-wave) regions, and performance was found to be excellent. The PWM algorithm can be easily extended to vector-controlled drive. The algorithm development is again fully compatible for implementation by a neural network.
引用
收藏
页码:604 / 611
页数:8
相关论文
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