Robots need sensors to detect various states. Internal sensor signals are used to reflect the actual motion state of the robotic arm joints, while external sensor signals are used to detect changes in the working environment.
What are the classifications of industrial robot control systems?
1. Program control system: By applying a certain control action to each degree of freedom, the robot can achieve the required spatial trajectory.
2. Adaptive Control System: When external conditions change, to ensure the required quality or to improve control quality automatically with the accumulation of experience, the process is based on observing the state of the operator and servo errors, and then adjusting the parameters of the nonlinear model until the error disappears. The structure and parameters of this system can automatically change with time and conditions.
3. Artificial intelligence system: It is impossible to program the movement in advance. Instead, it requires the system to determine the control action in real time based on the surrounding state information obtained during the movement.
4. Point-to-point: This type requires the robot to accurately control the pose of the end effector, regardless of the path.
5. Trajectory-based: This requires the robot to move along the taught trajectory and speed.
6. Control Bus: International Standard Bus Control System. The control system uses international standard buses, such as VME, MULTI-bus, STD-bus, and PC-bus.
7. Custom bus control system: The bus used by the manufacturer is defined as the control system bus.
8. Programming method: Physical setting programming system. The operator sets fixed limit switches to realize the start and stop program operation, which can only be used for simple picking and placing operations.
9. Online programming: A programming method that completes the memorization process of operational information through human instruction, including direct instruction, simulated instruction, and teach pendant instruction.
10. Offline programming: Instead of directly teaching the robot to perform actual tasks, the program is taught remotely offline using advanced robot programming languages, detached from the actual working environment, to generate the robot's work trajectory.
