In this paper, the control problem of free-floating space manipulator system with prismatic joint was studied.
讨论了载体的位置与姿态均不受控制的漂浮基带滑移铰空间机械臂的控制问题。
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。
Nonlinear dynamic equations of a free-floating space robot with two manipulators and a flexible end-manipulator are established based on Lagrange and assumed mode methods.
利用拉格朗日法和假设模态方法建立了末端柔性的两臂漂浮基空间机器人的非线性动力学方程。
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。
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。
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