The position and attitude of the end effector of the multi DOF Manipulator relative to the basic coordinate system is established by using the D-H method, that is, the forward kinematics model of the multi DOF Manipulator. Secondly, the inverse kinematics model of multi DOF Manipulator is analyzed. In the end, the dynamics model of the multi degree of freedom manipulator is established by using the Langrange method, and the dynamics model and characteristics of the multi degree of freedom manipulator are analyzed. Aiming at the uncertainty of the mathematical model of the multi degree of freedom manipulator, an adaptive control method based on RBF neural network is proposed.

Filename	Size	Update
robot_control.slx	32937	2020-05-04

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