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。
Mathematic model of satellite attitude dynamic is set up, and external disturbance torque is analyzed.
建立卫星姿态动力学数学模型，并分析星体所受的外部扰动力矩。
Put the disturbance moments of typical astronaut's push-off act as the input datas of the control system simulation, and analyze the response of the attitude control system after disturbed.
以典型的航天员推离动作对飞船的扰动力矩作为控制系统仿真的输入参数，分析姿态控制系统受到扰动后的响应。
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