Youngen Technology is a national high-tech enterprise that develops and manufactures high-end equipment. It is a leading intelligent equipment research and development company driven by advanced technology. At the beginning of its establishment, the company established the development concept of "promoting the development of industrial automation with technology and leading domestic equipment to the world", and has been deeply involved in the field of automated intelligent equipment manufacturing.

1. Ultra-high-speed motion control software algorithm.

The ultra-high-speed motion control software is based on the H2 and hybrid control algorithms of robust control, so that the stability, dynamic characteristics and steady-state characteristics of the system remain unchanged under a certain type of uncertainty, thus effectively improving the multi-axis linkage motion. The control efficiency and control precision greatly improve the work efficiency. The application of ultra-high-speed motion control software can realize any three-axis linear interpolation, any two-axis circular interpolation, any three-axis helical interpolation and continuous interpolation, and can also achieve 12-axis simultaneous motion or 4 groups of 3-axis simultaneous motion interpolation. Compensation function, 12-axis motors can be exchanged within a 1ms command cycle.

2. Sub-micron precision motion platform

The sub-micron precision mobile motion platform technology is a precision motion platform driven by a linear ultrasonic motor. The average resolution measured in the experiment can reach 50nm; the maximum working speed is 0.5m/s, the acceleration is greater than 15m/s, the positioning accuracy is 100nm, and the stabilization time is less than 10ms. The sub-micron precision motion platform is widely used in microsurgery, high-density optical memory, lithography scanning control and other fields, and the application prospect is very broad.

3. AI visual defect detection technology

AI visual defect detection technology can replace manual detection of defects such as roll marks, scratches, folds, and stains on metal surfaces; detect defects such as dirt, damage, twins, and scratches on the surface of chips; as well as precision workpiece appearance defect detection ;Defect detection under complex background;Using unsupervised learning-based product surface weak defect detection method for secondary analysis of the image, deep learning algorithm makes the defect detection more and more accurate, the recognition accuracy is as high as 95%, and the defect recognition accuracy is the highest up to 10 microns. The application of AI visual defect detection technology will greatly improve the appearance defect detection efficiency of semiconductor chips.