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This paper puts forward the iterative learning control (ILC) function for the existing CNC systems, aiming at the large number of actual need of single-piece repetitive processing tasks. The previous processing error is superimposed on the next processing, with use of the last processing of the control, and gradually improves the processing accuracy, thereby improving the product yield. In the iterative...
How to achieve the required contouring tracking accuracy especially during high-speed and large-curvature contouring tasks, has always been an important problem in manufacturing applications. In this paper, a contouring error estimation method based on natural local approximation is used, and then the position-loop cross-coupled controller is proposed to reduce the estimated contouring error. The...
In the process of development of numerical control system, we would actually go to the processing plant to test a strategy or compare the accuracy of trajectory planning, which is not only inefficient, but may lead to mechanical platform damage or safety incidents due to improper use of the parameters. Therefore, we aim to establish virtual simulation system for the lead screw guide system. Based...
This paper presents a perfect tracking method by combining iterative learning control (ILC) with disturbance observer (DOB) for CNC machine tools that perform the same tasks repeatedly. Although CNC systems have many nonlinear factors, they can be easily solved by ILC instead of complicated modeling. Also, for repeated disturbance, ILC performs very well and for non-repeated disturbance, DOB works...
In consideration of the disadvantages of traditional measuring methods, a stepwise measurement and identification of machine geometric error method by using Cross Grid Encoder KGM181 is proposed in this paper, and a software module with the function of automatic compensation was made. Based on the theory of multi-body systems, geometric error model is established by using homogeneous coordinate transformation...
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