Abstract
Genetic Algorithms (GA) has always done justice to the art of optimization. One such endeavor has been made in employing the roots of GA in a most proficient way to determine the switching moments of a cascaded H-bridge seven level inverter with equal DC sources. Evolutionary techniques have proved themselves efficient to solve such an obscurity. GA is one of the methods to achieve the objective through biological mimicking. The extraordinary property of crossover is extracted using Random 3-Point Neighbourhood Crossover (RPNC) and Multi Midpoint Selective Bit Neighbourhood crossover (MMSBNC). This paper deals with solving of the selective harmonic equations (SHE) using binary coded GA specific to knowledge based neighbourhood multipoint crossover technique. This is directly related to the switching moments of the multilevel inverter under consideration. Although the previous root-finding techniques such as N-R or resultant like methods endeavor the same, the latter offers faster convergence, better program reliability and wide range of solutions. With an acute algorithm developed in Turbo C, the switching moments are calculated offline. The simulation results closely agree with the hardware results.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
