Intelligent compensation method for realizing non-linear errors of numerically-controlled machine tool

Abstract

The invention relates to an intelligent compensation method for realizing non-linear errors of a numerical control machine tool, which comprises the following steps: collecting error source signals, taking machine tool coordinate axis positions as inputs of a fuzzy neural network, collecting error signals as outputs of the fuzzy neural network, and training the fuzzy neural network; performing PLCerror table calibration by using a fuzzy neural network to generate a PLC error table; enabling the PLC thread to collect an error source signal for real-time compensation, enabling the motion control module to collect a real-time machine tool coordinate axis position and store the real-time machine tool coordinate axis position in the shared memory, and enabling the PLC to determine an error value of a current to-be-compensated shaft by reading the real-time machine tool coordinate axis position in the shared memory and through a linear difference value of the PLC error table; and performingerror compensation on the current to-be-compensated shaft through the obtained error value. According to the method, the influence of nonlinear error factors on the machining precision of the numerically-controlled machine tool is reduced, the robustness and machining stability of system error compensation are improved, the real-time performance of motion control of the numerically-controlled machine tool is improved, and the method has important theoretical significance for achieving high-speed and high-precision machining.

Description

technical field [0001] The invention relates to the field of automatic control, in particular to an intelligent compensation method for realizing the nonlinear error of a numerical control machine tool. Background technique [0002] High-end precision CNC machine tools are not only the technical foundation of industrial modernization, but also a supporting tool for the development of high-tech industries. The basic methods to improve the accuracy of machine tools include error prevention method and error compensation method. Due to its low cost, flexible and convenient implementation method, the error compensation method has become one of the main means and development trends of improving the accuracy of machine tools. [0003] There are many errors in CNC machine tools. From the analysis of the error sources and the contribution of each error element to the machining errors of CNC machine tools, the main error sources include: geometric errors, thermal errors and force err...

AI Technical Summary

Problems solved by technology

However, due to the complexity of the internal structure and external operating environment of the actual system, the mathematical models established by mechanism modeling or system identification methods are only approximation models with certain deviations from the real system.

In other words, unmodeled dynamics and other uncertainties are always unavoidable in the above modeling process. In practical applications, due to unmodeled dynamics factors and various external disturbances, the model system may be unstable. Poor stickiness or even system instability

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