The usage of switched reluctance machines (SRMs) grows following the power electronics development. For this reason, a precise mathematical model is crucial for the development of SRM automatic control projects due to the nonlinearities caused by the machine topology and working principle. This chapter focuses on SRM characterization procedure, enlightening the nonlinear characteristics and the importance of the magnetization curves to accomplish precise automatic control of SRM. Different methods found in the literature are commented. The blocked rotor test is detailed, and an automatic acquirement system to obtain the SRM magnetization curves is reasoned. Magnetization curves are processed to create the mathematical model of the SRM. The computational algorithm used to process the acquired data is presented with the purpose of clarifying the production of the lookup tables used in the mathematical model. The developed mathematical model is implemented in Matlab/Simulink® environment. The system simulates the SRM operating both in motoring and generating mode. The mathematical simulation results are compared to experimental results. The developed model is accurate and may be used to study SRM behavior and control systems for SRM applications.
Este artigo apresenta um estudo comparativo entre estratégias de controle de sistemas de conversão de energia eólica com geradores de relutância variável (GRV) conectados à rede elétrica através de um conversor fonte de tensão (VSC). Duas estratégias de controle são analisadas. Na primeira, o VSC controla a tensão no barramento CC enquanto o GRV controla a potência. Na segunda, os papéis se invertem. Testes em velocidades abaixo e acima da velocidade de base são performados em simulações dinâmicas, possibilitando a comparação em relação à dinâmica de resposta e a distorção harmônica total (DHT) da corrente entregue à rede elétrica de distribuição. Ambas as estratégias são capazes de desempenhar a regulação de tensão do barramento CC e do fluxo de potência. A dinâmica da potência na segunda estratégia demonstrou-se mais rápida. A DHT apresentou uma diferença máxima de 0,34%, certificando que a qualidade da energia injetada não apresenta alterações relevantes.
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