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Neuro control of a PFC rectifier for harmonic reduction at partial loads

机译:PFC整流器的神经控制,可在部分负载时降低谐波

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Boost PFC converters using conventional control techniques exhibit the problem of significant harmonic content in the input current at partial loads. This leads to mains pollution as well as nonunity power factor. Though, some techniques exist to mitigate this problem. The computation of the algorithms involved require complex numerical algorithms which are challenging especially for high switching frequencies. This paper introduces a neuro control system, in order to overcome this problem. Because of its parallel structure, such a neuro control is ideal for implementation on FPGAs or ASICs. Simulations verify that the proposed neuro control scheme reduces the harmonics at partial load significantly. The third harmonic, for instance, has been reduced from 33.3% to 0.72% at partial load. A hardware investigation reveals that the parallel computation of the neuro control requires a calculation time of 160-250 ns on state-of-the-art FPGAs.
机译:使用常规控制技术的升压PFC转换器在部分负载时会表现出输入电流中谐波分量很大的问题。这会导致电源污染以及功率因数不均。但是,存在一些缓解此问题的技术。所涉及算法的计算需要复杂的数值算法,这对于高开关频率尤其具有挑战性。为了克服这个问题,本文介绍了一种神经控制系统。由于具有并行结构,因此这种神经控制非常适合在FPGA或ASIC上实现。仿真验证了所提出的神经控制方案可以显着降低部分负载时的谐波。例如,三次谐波在部分负载时已从33.3%降低到0.72%。一项硬件研究表明,在最新的FPGA上,神经控制的并行计算需要160-250 ns的计算时间。

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