Improved random space vector pulse width modulation for performance enhancement in voltage source inverter

Abstract

For the past few years, numerous pulse width modulation techniques exist and each differs in their method of implementations. The ultimate aim of all these techniques is to generate an output voltage which passes through the filters and produce better quality sinusoidal waveform with desired fundamental magnitude and frequency. This thesis focuses on reducing the overall total harmonic distortion of the considered motor drive by the developed novel PWM techniques. Novel PWM techniques are developed in this thesis based on the concepts of space vector modulation approach and machine learning intelligent techniques. The growth in industrial electronics and thereby its varied applications has resulted in the need of effective pulse width modulation techniques which drives the loads. To carry out a reliable control mechanism effective pulse width modulation techniques are to be designed which is the prime focus in this thesis work. This research work intends to develop new pulse width modulation techniques based on space vector modulation, carrier based operations and computational hybrid intelligent techniques. There are five contributions proposed and tested in this research thesis, both hardware and simulation experimentation has been carried out. In the First part of the research, a multiple carrier based random carrier based Space Vector Pulse Width Modulation (SVPWM) has been proposed for three-phase two-level six switches voltage source inverter. It improves the randomness which helps to spread the harmonics around spectra. This contribution mainly deals with the combination of multicarrier with space vector PWM (SVPWM) to generate multicarrier random space vector PWM (MCRSVPWM) and are chosen with the aid of a random binary newlinebit generator newline newline