Classification of industrial robot control systems – KUKA robots

Create Date: 2024-8-30 12:03:23|Source: KUKA

1. Program control system: apply a certain rule of control to each degree of freedom, and the robot can complete the required space orbit.

2. Adaptive control system: when the external conditions change, in order to ensure the required quality or to improve the control quality with the accumulation of experience, the process is based on the condition of the manipulator and the observation of servo error, and then adjust the parameters of the nonlinear model until the error disappears. The structure and parameters of this system can actively change over time and conditions.

                            Classification of industrial robot control systems – KUKA robots

3. Artificial intelligence system: it is not possible to compile the movement program in advance, but requires that the control function be determined in real time according to the surrounding information obtained during the movement.

4. Point type: The robot is required to accurately control the pose of the end actuator, regardless of the path.

5. Orbital type: The robot is required to move according to the track and speed of the teaching.

6. Control bus: international standard bus control system. The control bus that adopts the international standard bus as the control system, such as VME, MULTI-bus, STD-bus, PC-bus.

7. Self-control bus control system: the bus used by the manufacturer is used as the control system bus.

8. Programming method: Physically set up the programming system. The operator sets a fixed limit switch, and the program operation of starting and parking is completed, which can only be used for simple picking and placing operations.

9. Online programming: a programming method that completes the recall process of operating information through human teaching, including direct teaching simulation teaching and teaching box teaching.

10. Offline programming: do not teach the robot directly in actual operation, but leave the actual operating environment, teach the program, and generate the robot operation track remotely offline through the use of advanced robots and programming languages.

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