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Machine tool positioning error compensation using artificial neural networks

机译:使用人工神经网络的机床定位误差补偿

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This paper is a study of the application of artificial neural networks to the problem of calculating error compensation values for axis positioning on a machine tool. The primary focus is on the development of a neural network-based system that could be implemented and integrated into the open architecture control system of an actual machine. A number of neural network architectures were examined for applicability to the problem and one was selected and implemented on the actual machine. Positioning error compensation capabilities were evaluated using industry standard equipment and procedures, and the results obtained were compared with the capabilities of standard error compensation routines in machine tool controls.
机译:本文研究了人工神经网络在计算机床轴定位误差补偿值问题上的应用。主要重点是基于神经网络的系统的开发,该系统可以实现并集成到实际机器的开放式体系结构控制系统中。研究了许多神经网络体系结构对问题的适用性,并选择了一种在实际机器上实现。使用行业标准的设备和程序对定位误差补偿能力进行了评估,并将获得的结果与机床控件中的标准误差补偿例程的能力进行了比较。

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