2results about How to "Reduce position" patented technology

This application discloses a high-efficiency five-axis machining center, relating to the field of CNC machine tools. It includes a base and a worktable, with two support seats mounted on the base. A transverse slide is slidably connected to each of the two support seats, and a positioning seat is provided on each support seat. An inclined surface is formed on the side of the positioning seat near the transverse slide, and a transverse stator is mounted on the inclined surface. Transverse movers are mounted on both sides of the transverse slide. A longitudinal slide is slidably connected to the transverse slide, with a row of longitudinal stators mounted on the transverse slide and longitudinal movers mounted on the longitudinal slide. A vertical drive seat is slidably connected to the longitudinal slide, and a vertical drive cavity is formed on the vertical drive cavity. A vertical drive component is installed within the vertical drive cavity, and one end of the vertical drive component is rotatably connected to a first drive screw. This application aims to disperse the upward shearing force generated during cutting, improve the stability of the transverse slide movement, and enhance product machining accuracy and processing effect.

The invention relates to an unmanned ship prediction tracking control method and system based on a GRU disturbance observer, and belongs to the field of ocean intelligent equipment control. The method comprises the following steps: constructing an unmanned ship kinematics model and an unmanned ship dynamics model; transmitting sensor data to the unmanned ship kinematics model and the unmanned ship dynamics model, and calculating an actual disturbance value; and obtaining an unmanned ship linearization model according to the constructed GRU disturbance observer model, and obtaining a target control quantity for the unmanned ship linearization model through a model prediction control strategy. The method solves the problems that the accuracy of tracking the expected path by the unmanned ship is reduced and the course error is increased due to low prediction precision of model prediction control.