LAUSR

Abstract This paper presents a design and an implementation of a generalized adaptive multi-objectives Space Vector Pulse Width Modulation (SVPWM) algorithm for multilevel inverters (MLIs). SVPWM is considered as an influential and resilient tool for optimizing the performance of MLIs. Innumerable objectives can be attained by the proper selection of switching times and states. The performance of MLIs can be improved, as well. Hitherto, achieving multiple objectives could be a challenging mission in the SVPWM algorithms scheming. In this paper, an objective function has been demarcated based on the weighted sum of the desired performance parameters. Then, considering this chosen objective function, the proposed algorithm nominates the optimum switching sequence from valid switching sequences. With this algorithm, the objective function can be weighted for the sake of reaching different performance parameter combinations; to outfit different applications and operating points. Furthermore, different SVPWM design cases for enhancing the operation of MLIs can be accomplished. Voltage balance over the DC-link capacitors in MLIs has been implemented, as a study case, using the proposed SVPWM. Both simulation and experimental platforms have been utilized. The results visibly illustrate the generality of the proposed algorithm, and it can improve different performance limitations of MLI such as; achieving a fast balance of the capacitors voltages with reduced power losses. The selected case study has achieved 21.62% faster voltage balance with 17.61% reduction in the power losses compared to conventional SVPWM method. Notwithstanding its straightforwardness to be implemented without complex calculations, the proposed algorithm can maintain the high operating efficiency of the MLI system for a wide range of operation.