神经网络的电传动装甲车辆发动机建模与仿真

摘要

发动机是电传动装甲车辆的核心部件，其动态特性具有很强的非线性，通过采用遗传算法优化的BP神经网络学习发动机台架实验数据，得到发动机稳态模型，在此基础上结合控制理论知识建立了发动机动态模型，通过仿真检测了模型的精度，证明了模型的可行性。%As the core parts of Electic Drive Vehicle,engine’s dynamic characteristics has high non-liner characteristic. This article researches through using the BP neural network which is optimized by genetic algorithm to learn a great of experimental data established the steady-stay model of engine, and then combined with control theory established dynamic model. Then tested model errors that informs the feasibility of the model by computer-simulation.