This paper presents a new method of identifying the mass of free flying space robot body using multilayer feedforward neural network based on its attitude disturbance characteristic.

根据空间机器人姿态干扰特性，本文提出了利用多层前向神经网络来辨识自由飞行空间机器人本体质量的算法。

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With this method the depth variance of plow, the variance of the revs and the torque of engine can be calculated, according to the given characteristic of stochastic disturbance.

这个计算方法，根据给定的系统随机输入的统计特征，可计算各犁铧耕深的方差、发动机转速和扭矩的方差。

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Then under the MATLAB environment, author has done system simulation experiments by altering given value, changing controlled object characteristic and adding random disturbance.

在MATLAB环境下分别进行设定值改变、对象特性改变和加随机扰动三个环节的系统仿真实验。

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