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因为电液位置伺服系统是典型的非线性系统,精确的数学模型不易建立,为了建立精确的数学模型,采用BP神经网络辨识方法对电液位置伺服系统进行辨识.首先通过测得电液伺服实验台相应的输入输出数据,构建出BP神经网络结构,利用BP神经网络辨识出电液位置伺服系统的模型.在Matlab/simulink中对辨识出的模型和理论推导模型进行仿真,将这2个仿真结果与实验台的输出结果进行对比,验证用BP神经网络方法辨识模型的准确性.“,”Because the electro-hydraulic position servo system is a typical nonlinear system,and the exact mathematical model is difficult to be established,in order to establish the accurate mathematical model,BP neural network identification method is adopted to identify the electro-hydraulic servo system.The corresponding input and output data of the electro-hydraulic position servo system are measured by the electro-hydraulic servo system at first,constructing the BP neural network structure,using the BP neural network to identify the model of electro-hydraulic position servo system.Then,simulate the model of the identified and theoretical deduction in Matlab/Simulink and contrast the two simulation results with the experimental output results,verifying the accuracy of the model by using BP neural network.