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ANN Based Direct Power Control of 2-level PWM Rectifier

机译:基于人工神经网络的2级PWM整流器直接功率控制

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摘要

This paper presents artificial neural network (ANN) based direct power control of Bidirectional 2-level pulse width modulated (PWM) rectifier. Instead of the traditional PI controller, ANN controller is used in this paper to reduce the peak overshoot and ripple in active power. The Switching table based ANN controller for the direct power control (DPC) is simulated in this paper. And the results indicate that the proposed ANN controller achieves excellent transient performance under unity power factor operation without abnormal instantaneous reactive power fluctuations. The total harmonic distortion (THD) in the source current obtained by the ANN is also less than the THD obtained by the conventional table-based PI controller.
机译:本文提出了基于人工神经网络(ANN)的双向2级脉宽调制(PWM)整流器的直接功率控制。本文使用ANN控制器代替传统的PI控制器,以减少峰值过冲和有功功率中的纹波。本文对基于开关量表的直接功率控制(DPC)的ANN控制器进行了仿真。结果表明,所提出的人工神经网络控制器在功率因数为统一的情况下具有优异的暂态性能,且无异常瞬时无功波动。通过ANN获得的源电流中的总谐波失真(THD)也小于传统基于表的PI控制器获得的THD。

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