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Reduced switching frequency operation of power converters using virtual model based MPC

机译:使用基于虚拟模型的MPC降低电源转换器的开关频率操作

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Model predictive control has several advantages for power converter applications such as a simple theoretical concept, a straightforward implementation and a high dynamical response regardless the high switching frequency it generates which is one of its main drawbacks. In this paper a virtual first order filter is modeled in the predictive algorithm and its output is included into the cost function in order to modify the switching states selection and reduce the switching frequency. The proposed algorithm generates a reduction of the average switching frequency but it does not deteriorate the dynamical response of predictive control. Additionally, it has a simple implementation because it does not require frequency transformations, the virtual filter can be easily designed and the algorithm does not require additional memory to save the switching pattern to count the commutations. Results that confirm the performance of the proposed algorithm are given.
机译:模型预测控制在功率转换器应用中具有多个优点,例如简单的理论概念,简单的实现方式以及高动态响应,而不论其产生的高开关频率是其主要缺点之一。本文在预测算法中对虚拟的一阶滤波器建模,并将其输出包含在成本函数中,以修改开关状态选择并降低开关频率。所提出的算法产生了平均开关频率的降低,但是并没有降低预测控制的动态响应。此外,它具有简单的实现方式,因为它不需要频率转换,可以轻松设计虚拟滤波器,并且该算法不需要额外的内存来保存切换模式以计算换向。结果证实了所提出算法的性能。

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