Research on Pose Accuracy of End-Effector of Manipulator Based on Biotechnological Neural Network Algorithm

Da LV
School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia,014030, China
Wentao Zhao
School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia,014030, China
Hongbo Fei
School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia,014030, China
Yongzhi PANG
School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia,014030, China
Chao ZHANG
School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia,014030, China

Abstract:

The biotechnology neural network control algorithm plays an important role in the trajectory tracking control, dynamic modeling and kinematics modeling of the manipulator. In this paper, the biotechnology neural network is applied to the research on the pose accuracy of the end effector of the manipulator, and the intelligent system is used to simulate the motion process of the manipulator and judge the pose accuracy of the end effector in real time. In order to improve the pose accuracy of the end effector, this paper finds the structural parameter error with higher sensitivity among the many structural parameter errors that affect the end accuracy to improve it. In addition, this paper combines the biotechnology neural network to construct the pose accuracy analysis system of the manipulator end effector. Through experimental research, it can be known that pose accuracy analysis system of the manipulator end effector based on the biotechnology neural network has a good effect in the estimation of the pose accuracy of the manipulator end effector.