caa a22 4500 463206673 CHVBK 20180405153128.0 cr unu---uuuuu 170326e20070301xx s 000 0 eng 10.1007/s00202-006-0003-9 doi (NATIONALLICENCE)springer-10.1007/s00202-006-0003-9 A Hybrid Genetic Algorithm for Selective Harmonic Elimination PWM AC/AC Converter Control [Elektronische Daten] [Mohamed Dahidah, M. Rao] This paper presents an optimal solution for eliminating pre-specified orders of harmonics from the output waveform of AC/AC converter. The main challenge of solving the associated nonlinear equations, which are transcendental in nature and therefore have multiple solutions, is the convergence and therefore an initial point selected considerably close to the exact solution is required. The paper discusses an efficient hybrid real coded genetic algorithm (HRCGA) that reduces significantly the computational burden resulting in a fast convergence. An objective function describing a measure of effectiveness of eliminating selected orders of harmonics, while controlling the fundamental is derived and a comparison of different operating points is reported. It is observed that the modulation index can reach unity value. The theoretical findings are verified through simulation results using the PSIM software package. Springer-Verlag, 2006 Genetic algorithms nationallicence Selective harmonic elimination (SHE) nationallicence Pulse width modulation (PWM) nationallicence AC/AC converter nationallicence Dahidah Mohamed Faculty of Engineering and Technology, Multimedia University, 75450, Ayer Keroh Lama-Melaka, Malaysia aut Rao M. Faculty of Engineering and Technology, Multimedia University, 75450, Ayer Keroh Lama-Melaka, Malaysia aut Electrical Engineering Springer-Verlag 89/4(2007-03-01), 285-291 0948-7921 89:4<285 2007 89 202 https://doi.org/10.1007/s00202-006-0003-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00202-006-0003-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Dahidah Mohamed Faculty of Engineering and Technology, Multimedia University, 75450, Ayer Keroh Lama-Melaka, Malaysia aut NATIONALLICENCE 700 1- Rao M. Faculty of Engineering and Technology, Multimedia University, 75450, Ayer Keroh Lama-Melaka, Malaysia aut NATIONALLICENCE 773 0- Electrical Engineering Springer-Verlag 89/4(2007-03-01), 285-291 0948-7921 89:4<285 2007 89 202 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer