DocumentCode
3380186
Title
Distortion suppression based on adaline for single-phase SPWM inverter
Author
Wen Ye ; Yuxing Peng ; Xianrong Liu ; JunLing Yang
Author_Institution
Sch. of Electr. & Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
fYear
2013
fDate
16-18 July 2013
Firstpage
467
Lastpage
472
Abstract
Power switching components´ dead time, voltage drop and the change in load introduce the distortion in the output of SPWM inverter. This kind of outputs will trigger a series of serious problems, like lowering the stability of running equipment, increasing the loss, etc. In this paper, based on the causes of different kinds of distortion, aiming at the dead-zone effect, a algorithm to minimize dead time and to reduce the output zero-crossing distortion is given; aiming at the change of model parameters and load, based on adaptive linear neural network, a algorithm about distortion detection and compensation is proposed. Finally,using STM32F103ZE6 (Cortex-M3 32-bit ARM microprocessor), single-phase SPWM inverter results show that the distortion of output is only 0.9%, lower than about 85% before compensation.
Keywords
PWM invertors; distortion; electronic engineering computing; interference suppression; microprocessor chips; neural nets; Adaline; Cortex-M3 32-bit ARM microprocessor; STM32F103ZE6; adaptive linear neural network; dead-zone effect; distortion compensation; distortion detection; distortion suppression; output zero-crossing distortion; power switching component dead time; single-phase SPWM inverter; voltage drop; Clamps; Educational institutions; Harmonic analysis; Inverters; Power harmonic filters; Pulse width modulation; Switches; Adaline; Inverter; SPWM; THD;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on
Conference_Location
New York, NY
Print_ISBN
978-1-4799-0781-6
Type
conf
DOI
10.1109/ICCI-CC.2013.6622284
Filename
6622284
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