A Feedforward Control Method of Machine Tool Feed System Based on GMDH Data Mining Algorithm

A feed system and data mining technology, applied in the field of CNC machine tools, can solve problems such as deteriorating tracking performance, and achieve the effect of improving tracking accuracy and fast tracking.
CN104950806BActive Publication Date: 2017-07-28NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Publication Date
2017-07-28

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Abstract

The invention discloses a machine tool feed system feedforward control method based on a GMDH (Group Method of Data Handling) data mining algorithm. The machine tool feed system feedforward control method is characterized by firstly, building a friction moment model and a load moment model of a machine tool by utilizing a GMDH algorithm; secondly, compensating feedforward to an input end of a current loop after dividing the obtained friction moment model and the obtained load moment model by a torque constant of a motor, directly applying the speed of a command signal to an input position of a speed loop at the same time to complete the input of speed feedforward, multiplying the acceleration of the command signal by a coefficient, enabling a result to be acted on an input position of the current loop to complete the input of acceleration feedforward. According to the machine tool feed system feedforward control method disclosed by the invention, the tracking accuracy and high-speed response performance on position are increased, and the machining quality of a workpiece can be increased.
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Description

technical field

[0001] The invention relates to the technical field of numerically controlled machine tools, in particular to a data mining identification method based on various processing data of the machine tool, in particular to a command feedforward and compensation feedforward control method for the feed system of the machine tool. Background technique

[0002] Improving the machining accuracy of the machine tool is to reduce the error of the CNC machine tool. Errors can be divided into two categories, static errors and dynamic errors. The dynamic error usually refers to the trajectory error caused by the overshoot and delay of the servo control system, that is, the following error. The main factors affecting the performance of the servo system are load disturbance, friction disturbance, system parameter changes and so on.

[0003] The non-linearity of friction leads to large tracking error when the servo feed system starts, stops and reverses. During the machining ...

Claims

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