This paper presents the application of genetic algorithm to determine optimized pulse patterns in multilevel inverters aiming to mitigate harmonics generated at the inverter output voltage while maintaining a desired modulation index. A new real representation based on a relative position approach is applied to the chromosome encoding in order to avoid the existence of infeasible solutions and a systematic diversity control of initial population is proposed based on the euclidean distance between individuals. A local search mechanism combined with an elitist selection is also considered. Fitness value frequency distribution, waveform patterns and its corresponding harmonic components are presented to illustrate the effectiveness of the proposed algorithm.

Resonant converter's main feature is its increased efficiency, however, the dynamic modeling of these converters are not trivial and may result in high order or high complexity models. This paper presents the dynamic modeling of a Dual Series-Resonant Active Clamp DC-DC converter through the Generalizing State Space Average method. Simulations performed with PSIM are presented in order to evaluate the time and frequency responses of the obtained model. Resumo: Conversores ressonantes tem como principal característica o aumento da eficiência energética, contudo, a obtenção de um modelo dinâmico para esses conversores não é trivial e pode resultar em modelos de ordem elevada e maior complexidade. Este trabalho apresenta a modelagem dinâmica de um conversor CC-CC Duplo Série-Ressonante com Grampeamento Ativo através do método do Modelo Médio Generalizado no Espaço de Estados. Simulações utilizando o software PSIM são apresentadas para avaliar a resposta temporal e em frequência do modelo obtido.