首页> 外文会议>CSAE2012;IEEE international conference on computer science and automation engineering >A grid-connected current control technique of single-phase voltage source inverter based on BP neural network
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A grid-connected current control technique of single-phase voltage source inverter based on BP neural network

机译:基于BP神经网络的单相电压源逆变器并网电流控制技术。

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摘要

Aiming at the output current of grid-connected inverter of LCL filter, this paper put forward a PR (Proportion Resonant) control technology based on BP (Back Propagation) neural network. Combining the traditional digital PID control technology and the novel PR control technology, an increment PR controller algorithm as well as its parameter self-tuning method based on BP neural network were proposed, Simulation experiment, confirmed that the output current of gird-connected inverter controlled by PR control technology based on BP neural network had better steady state adaptive ability and self-learning ability. Trained results turn out to be a good effect of control of grid-connected current.
机译:针对LCL滤波器并网逆变器的输出电流,提出了一种基于BP神经网络的PR(比例谐振)控制技术。结合传统的数字PID控制技术和新颖的PR控制技术,提出了一种增量BP控制器算法及其基于BP神经网络的参数自整定方法,并进行了仿真实验,证实了并网逆变器的输出电流是受控的。基于BP神经网络的PR控制技术具有较好的稳态自适应能力和自学习能力。经过训练的结果证明是控制并网电流的良好效果。

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