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OBTS-oriented research on warship main power system hybrid model

机译:面向OBTS的舰船主动力系统混合模型研究

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This paper puts forward a warship main power on board training system hybrid modeling method based on neural network and integrates the method of mechanism modeling and Identification Modeling, uses neural network to compensate the error from the mechanism model. It improves the model precision, and suit the behavior changing of main power system. Taking warship diesel as an example, the developing method of hybrid model of diesel rotating speed was studied, and the feasibility of hybrid modeling method proposed was testified.
机译:提出了一种基于神经网络的舰船主力训练系统混合建模方法,并结合了机理建模和辨识建模的方法,利用神经网络来弥补机理模型的误差。它提高了模型精度,并适合主电源系统的行为变化。以军舰柴油为例,研究了柴油转速混合模型的开发方法,并验证了提出的混合模型方法的可行性。

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