It has been 50 years since the birth of the world's first remote-controlled manipulator. In these short few years, along with the development of computer and automatic control theory, the needs of industrial production and the progress of related technologies, the development of tufting machine It has gone through 3 generations [1]: (1) Programmable teaching and reproduction robot; (2) Hair planting machine with certain autonomy based on sensor control; (3) Intelligent robot. As the core part of the robot, the robot controller is one of the key parts that affect the performance of the robot. It affects the development of robots to a certain extent.
The tufting machine controller is a device that controls the robot to complete certain actions or tasks according to instructions and sensor information. It is the heart of the robot and determines the performance of the tufting machine. Due to the complexity of the robot control algorithm and the urgent need to improve the robot control performance, many scholars have made efforts to reduce the amount of calculation from the aspects of modeling and algorithm, but it is still difficult to meet the real-time calculation requirements on the serial structure controller.
Therefore, the tufting machine must seek a solution from the controller itself. One of the methods is to use a high-end microcomputer or minicomputer; another method is to use multi-processors for parallel computing to improve the computing power of the controller. We can design a tufting machine controller with an open structure according to the above ideas. And the design process should be as modular as possible. Modularization is a modern method of system design and establishment. It is designed according to the modular method. The system is composed of various functional modules. Each module is complete and single. Foshan MX brushmachinery hair planting machine factory www.mxbrushmachinery.com
The earliest tufting machines used sequential control. With the development of computers, robots use computer systems to comprehensively realize the functions of electromechanical devices, and adopt the control method of teaching and reproduction. With the development of information technology and control technology, and the expansion of robot application scope, robot control technology is developing in the direction of intelligence, and new technologies such as offline programming, task-level language, multi-sensor information fusion, and intelligent behavior control have emerged. The development of various technologies will promote the realization of intelligent tufting machines.
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