Based on air bearings, a ground experiment system for optimizing the 3-dof space manipulator reaction is set up.
基于气浮轴承方法，建立了3自由度空间机械臂反作用优化地面实验系统。
When the inertial parameters are unknown, two adaptive control schemes are proposed based on the results for a free- floating space manipulator system to track the desired trajectory in workspace.
在此基础上，给出了系统参数未知时由空间机械臂末端惯性空间期望轨迹产生机械臂关节铰期望角速度、角加速度的增广自适应控制算法。
Based on the above results, the free-floating space manipulator system was modeled by the RBF neural network technique, the GL matrix and its product operator.
基于上述结果，自由浮动空间机械臂系统模型的RBF神经网络技术，GL矩阵和其产品的运营商。
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