In the case of DC power distribution-based variable speed engine synchronous generators, if the output reference voltage is kept constant regardless of the generator engine operating speed, it may cause damage to the internal device and windings of the generator due to over-flux or over-excitation. The purpose of this study is to adjust the generator reference voltage according to the engine speed change in the DC distribution system with the variable speed engine synchronous generator. A method of controlling the generator reference voltage according to the speed was applied by adjusting the value of the variable resistance input to the external terminal of the automatic voltage regulator using a neural network controller. The learning data of the neural network was measured through an experiment, and the input pattern was set as the rotational speed of the generator engine, and the output pattern was set as the input current of the potentiometer. Using the measured input/output pattern of the neural network, the error backpropagation learning algorithm was applied to derive the optimum connection weight to be applied to the controller. For the test, the variable speed operation range of the generator engine was set to 1100–1800 rpm, and the input current value of the potentiometer according to the speed increase or decrease within the operation range and the output of the voltage output from the actual generator were checked. As a result of neural network control, it was possible to confirm the result that the input current value of the potentiometer accurately reached the target value 4–20 mA at the point where the initial speed change occurred. It was confirmed that the reference voltage was also normally output in the target range of 250–440 V.

中文翻译：

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基于神经网络的发电机参考电压控制方法在船舶直流配电变速同步发电系统中的应用

对于基于直流配电的变速发动机同步发电机，如果无论发电机运行速度如何，输出参考电压都保持恒定，则可能会由于过磁通或过载而损坏发电机内部设备和绕组。过度兴奋。本研究的目的是根据变速发动机同步发电机在直流配电系统中根据发动机转速变化来调整发电机参考电压。通过使用神经网络控制器调节输入到自动电压调节器外部端子的可变电阻的值，来应用一种根据速度控制发电机参考电压的方法。通过实验测量了神经网络的学习数据，输入模式设定为发电发动机的转速，输出模式设定为电位计的输入电流。使用测得的神经网络输入/输出模式，应用误差反向传播学习算法来导出要应用于控制器的最佳连接权重。为了进行测试，将发电机发动机的变速运行范围设置为1100–1800 rpm，并根据在运行范围内的增减速度以及实际输出电压的输出来输出电位计的输入电流值。检查发电机。由于神经网络控制，可以确认电位器的输入电流值在发生初始速度变化时准确地达到了目标值4-20 mA。可以确认的是，基准电压通常也在250–440 V的目标范围内输出。