An Intelligent Compensation Method for Realizing the Nonlinear Error of CNC Machine Tool

Abstract

The invention relates to an intelligent compensation method for realizing the nonlinear error of a numerically controlled machine tool. The error source signal and the coordinate axis position of the machine tool are collected as the input of the fuzzy neural network, and the error signal is collected as the output of the fuzzy neural network to train the fuzzy neural network; Calibrate the PLC error table through the network to generate the PLC error table; the PLC thread collects the error source signal for real-time compensation, and the motion control module collects the real-time coordinate axis position of the machine tool and stores it in the shared memory. The PLC reads the real-time coordinate axis position of the machine tool in the shared memory , determine the error value of the current axis to be compensated through the linear difference value of the PLC error table; perform error compensation on the current axis to be compensated by the obtained error value. The invention reduces the influence of nonlinear error factors on the machining accuracy of CNC machine tools, improves the robustness of system error compensation and processing stability, improves the real-time performance of motion control of CNC machine tools, and is important for realizing high-speed and high-precision machining. Theoretical significance.

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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