Self-learning error correction system and method for numerically-controlled machine tool

Abstract

The invention provides a self-learning error correction system and method for a numerically-controlled machine tool, which belongs to the field of servo system control. The system provided by the invention comprises a trajectory generation module, a position loop iterative learning controller, a second controller, a motor and a transmission module. The output end of the trajectory generation module is connected with the input end of the position loop iterative learning controller. The input end of the second controller is connected with the output end of the position loop iterative learning controller. The output end of the second controller is connected with the input end of the motor and the transmission module. The system further comprises an outer layer self-learning speed planner. The input end of the outer layer self-learning speed planner is connected with the output end of the motor and the transmission module. The outer layer self-learning speed planner is connected with the trajectory generation module. The system and the method have the advantages that a numerically-controlled system has the self-learning function of error experience accumulation and autonomous error correction in repeated processing; the processing process of the numerically-controlled machine tool becomes the process of automatic learning; and the processing yield is greatly improved.

Description

technical field [0001] The invention relates to the field of servo system control, in particular to a method for self-learning and error correction of a numerically controlled machine tool. Background technique [0002] CNC machine tools are the foundation of modern equipment manufacturing industry, reflecting the comprehensive scientific and technological level of a country, and are of great importance to the development of various industries such as aerospace, metallurgy, mining, chemical industry, shipbuilding, transportation, precision instruments and medical equipment. effect. Since the birth of the world's first CNC machine tool in 1952, after more than 60 years of development, the performance of CNC machine tools in terms of hardware and software has been comprehensively improved. At present, the CNC system has basically realized the high-speed and high-precision functions in processing, and is developing towards the direction of intelligence. As the core control al...

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Problems solved by technology

[0005] In order to solve the problem in the prior art that self-learning cannot be performed according to the previous processing error information, the present invention provides a self-learning error correction system for CNC machine tools, and also provides an error correction method based on the system

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