Recently the multilevel inverter and converter have drawn tremendous interest for high voltage and high power application .The general structure of multilevel inverter and converter is to synthesize sinusoidal voltage waveform from several levels of voltages typically obtained from capacitor voltage source.
Low ratio of carrier frequency to modulation frequency is the best form of modulation for high power application, which is operating domain for multilevel inverter. For this purpose digital control of multilevel inverter using DSP/Microntroller is preferred due to their dynamic controlling property .However DSP/Microntroller based system uses symmetrical regular sampling, asymmetrical regular sampling or re-sampling technique .These sampling techniques either introduces delay in switching or requires dedicated controller. In this work a novel mathematical model of SPWM technique for multilevel inverter is presented which approaches the performance of traditional natural Sinusoidal Pulse width Modulation (SPWM).
Introduction
The sinusoidal pulse width modulation (SPWM) is one of the most popular modulation technique used in wide range of industrial application where power switching converter are employed. Low ratio of carrier frequency (fc) to modulation frequency (fm) is the best from of modulation for high power application. However DSP/Microcontroller based system uses symmetrical regular sampling or re-sampling. These sampling techniques either introduces the delay in switching or requires dedicated processor. This paper presents a simple mathematical model for SPWM technique. This technique is further extended and implemented on Artificial Neural Network (ANN).
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SPWM modulation technique for multilevel inverter
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