Design and Analysis of DSP Positioning Error System for CNC Machine Table
In order to further optimise the compensation function of CNC machine tools for testing errors,we developed a DSP hardware system to accurately predict errors and set up compensation measures.The establishment of the positioning error model prediction and compensation system includes the feedback structure of the feed axis of the CNC system,the DSP modelling prediction system and the CNC system.The results of the study show that the GA-BP network with optimised weights and thresholds obtained from Matlab software takes 251 μ s to predict the error,and the model constructed by the GA-BP network achieves higher accuracy in prediction.This study helps to improve the machining accuracy of CNC machine tools,and plays a good guiding significance as well as control effect to improve the optimisation of machining parameters.
CNC machine toolpositioning errordigital signal processorgenetic algorithmback propagation network
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