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The space vector PWM for voltage source inverters using artificial neural networks based on FPGA
2010 International Forum on Strategic Technology, IFOST 2010 Số , năm 2010 (Tập , trang 396-401)
DOI: 10.1109/IFOST.2010.5668003
Tài liệu thuộc danh mục: Scopus
Conference Paper
English
Từ khóa: Artificial Neural Network; Over modulation; Space Vector; Undermodulation; Voltage source inverter; Algorithms; Counting circuits; Electric inverters; Field programmable gate arrays (FPGA); Modulation; Pulse width modulation; Technology; Time switches; Vector spaces; Vectors; Neural networks
Tóm tắt tiếng anh
This paper presents space vector PWM algorithm for six- switch three-phase inverters (SSTPI) using Artificial Neural Networks (ANN) based on the ready-to-use field-programmable gate array (FPGA) technology. ANN is used to calculate ON-OFF time for six switches when given the angle and modulation index of required voltage space vector. This approach has the advantage of very fast implementation of an Space Vector PWM (SVPWM) algorithm that can increase the converter switching frequency, particularly when the field-programmable-gate- array (FPGA) technology is used in the modulator. This SVPWM is also validated experimentally using FPGA-XUP VIRTEX II PRO from Xilinx in SSTPI-IM system for under modulation mode and over modulation mode 1 and 2, extended to six-step mode, especially for 40khz-switching-frequency case. �2010 IEEE.
