What is welding robot motion control?

Welding robot motion control refers to the control of the posture, speed, position and other parameters during the welding process by controlling the way the welding robot performs motion, so as to complete the welding task. Welding robot motion control involves many aspects, mainly including motion planning, trajectory generation, feedback control and motion control algorithm. Next Wuxi Jinhongying will introduce you in detail.

1. Motion Planning

Before determining the path of the welding robot, motion planning is required. Motion planning is a classification control method that is mainly used to adjust the motion trajectory of the welding robot to achieve the optimal physical effect. Motion planning can decompose complex paths into simpler path segments and generate motion that matches the structure of the welding robot.

2. Trajectory Generation

After confirming the welding motion path, trajectory generation is required. Trajectory generation is to decompose the problem into multiple linear or nonlinear parts and then express them as functions of time functions. Accurately defined motion trajectories can directly guide the movement of the robot to achieve welding work.

3. Feedback control

Feedback control is mainly used to adjust and monitor the robot's position, speed, angle and other parameters in real time. Feedback control compares the output with the input signal to detect and reduce the error. In welding robots, feedback control can adjust the welding temperature in time according to the characteristics of the welding material to ensure good welding quality.

Wuxi Jinhongying Robot

4. Motion Control Algorithm

The motion control algorithm is to develop corresponding motion strategies and calculation methods by analyzing the motion characteristics of the welding robot. The motion control algorithm can accurately calculate the trajectory and speed of the robot according to different actual needs, thereby ensuring the quality and efficiency of welding. Common motion control algorithms include D control, fuzzy control and control.

Review editor: Tang Zihong