Research on automatic control algorithms for the motion of redundant robotic arms of industrial robots

The development of intelligent technology has led to the more frequent use of robots in industrial production, but the control problems in the redundant robotic arms of industrial robots have hindered their normal development. Therefore, in the study, in order to achieve automatic control of the redundant robotic arm of industrial robots, a multi‐objective redundant robotic arm automatic control algorithm based on improved generalized weighted least squares and multi‐objective feedback teaching and learning optimization algorithm is proposed. In the results, it is shown that the multi‐objective optimization algorithm is effective for the control of the redundant robotic arm, and from the rectification results it is shown that the speed and position errors are only manifested at 0.005 s after time and there is no difference between its speed and position values. The above results show that for the automatic control of redundant robotic arms of industrial robots, the use of multi‐objective optimization control is effective and can provide theoretical support for industrial production and industrial development, thus promoting the development of China's market economy. Aiming at the motion control of redundant manipulator of industrial robot, a multi‐objective control algorithm based onimproved generalized weighted least square method is proposed. The experimental results show that the error of the proposed algorithm is significantly less than that of the traditional control algorithm. The above results show that the proposed control algorithm can ensure the accuracy of the task, and can achieve effective control of redundant robots.