How Much Do You Know About The Brain Structure Of Industrial Robots?

Industrial robots are not only the "labor force" of production lines, but also the "intelligent brain" that carries advanced control technology. The control system of the "brain" of industrial robots, as its core component, determines the level of intelligence and application scope of robots. Therefore, understanding the composition and functions of this control system is crucial for exploring how it can firmly establish itself in the Industry 4.0 era.
The basic function of robot control system
The control system of industrial robots is mainly responsible for adjusting the motion of the actuator based on the job instruction program and feedback signals obtained from sensors, so that the robot can complete the specified tasks. A control system without feedback is called an open-loop control system, while a closed-loop control system with feedback function is called a closed-loop control system. According to different application requirements, control systems are divided into program control systems, adaptive control systems, and artificial intelligence control systems. The role of these control systems is not only to schedule and control the motion trajectory of robots, but also to optimize production efficiency, improve accuracy and reliability, and meet the demand for efficient and intelligent manufacturing in the Industry 4.0 era.
The "brain" structure of industrial robot control systems is similar to the complex network of the human brain, covering multiple important components, each of which plays an important role in achieving precise control and intelligent response of robots. The following are its main components:
1. Robot system host: This is the central processing unit of the control system, similar to the "brain" of a robot, responsible for overall scheduling and command control.
2. Teaching pendant: The teaching pendant serves as a bridge for interaction between the robot and the operator by directly guiding the robot's work trajectory and parameter settings. It has independent storage units and supports on-site or offline teaching operations.
3. Operation panel: including basic components such as buttons, push buttons, and indicator lights, responsible for the start stop and basic functional operations of the robot.
4. Signal interface (IO module): An interactive interface with external devices or workstations, enabling robots to exchange information with other devices in the production environment.
5. Analog output interface: used for inputting and outputting various states and control commands of the robot, ensuring system coordination and accurate operation.
6. Servo module (servo driver): provides driving power for the servo motor, controls the command sending and position receiving of the motor, and ensures the precise movement of the robot.
7. Network interface: such as CAN port and Ethernet interface, supporting communication between robots and PCs or other devices, achieving multi machine linkage and data exchange.
8. Communication interface: Through technologies such as serial interfaces, information exchange with external devices is achieved to maintain the interconnectivity of the production line.
Functional characteristics of control system
The powerful functions of industrial robot control systems make them play an irreplaceable role in the Industry 4.0 era.
1. Memory function: The control system can store and remember machine parameters and operating parameters, such as motion trajectory, speed, and production process information. It ensures efficient switching and production consistency of robots between different production tasks.
2. Teaching function: The robot supports on-site and offline teaching, and operators can flexibly adjust the robot's actions according to production needs, greatly improving the flexibility and adaptability of application scenarios.
3. Online function: The robot supports networking interaction with other devices through IO interfaces, network interfaces, and other means, forming a complete production chain and improving automation level.
4. Multi axis servo control function: Supports multi axis linkage or single axis control, achieving precise speed and acceleration adjustment, ensuring the accuracy and stability of robot actions.
5. Safety protection function: The system has a built-in safety zone definition function to ensure the safety of the robot during the production process. At the same time, the motion area protection function can be freely added to prevent accidental collisions or malfunctions.
6. Coordinate system function: The robot supports different types of coordinate systems, such as joint coordinate systems, tool coordinate systems, etc. Users can even customize coordinate systems to meet different work environments and task requirements.
7. Fault diagnosis function: Real time monitoring of the robot's operating status, the system can perform self diagnosis and issue warnings when faults occur, and prevent production line shutdown in a timely manner.
In this process, industrial robots are no longer just performing simple repetitive tasks, but have become highly intelligent, flexible, and autonomous decision-making "factory brains". With the continuous updating and diversification of production tasks, the continuous upgrading and optimization of robot control systems will make them more adaptable to rapidly changing production needs, and promote industrial production into a new era of intelligence and efficiency.