Numerical control system motion trail control method based on neural network

A motion trajectory and neural network technology, applied in the field of CNC machining trajectory planning, can solve problems such as inability to meet intelligent manufacturing, and achieve the effects of intelligent motion trajectory control, efficient smooth processing, and good surface processing quality

Active Publication Date: 2020-10-30
TSINGHUA UNIV
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Problems solved by technology

The existing CNC system motion trajectory control method cannot meet the needs of intelligent manufacturing

Method used

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  • Numerical control system motion trail control method based on neural network
  • Numerical control system motion trail control method based on neural network
  • Numerical control system motion trail control method based on neural network

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[0049] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.

[0050] In order to better understand the present invention, an application example of a neural network-based motion trajectory control method for a numerical control system proposed by the present invention will be described in detail below.

[0051] see figure 2 , a neural network-based numerical control system motion trajectory control method in the embodiment of the present invention includes the following steps:

[0052] 1) Build a neural network as a decision model

[0053] A neural network is constructed by sequentially connecting an input layer, several hidden ...

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Abstract

The invention provides a numerical control system motion trail control method based on a neural network. Firstly, a neural network is constructed as a decision model; the device comprises an input layer, a plurality of hidden layers and an output layer, the input layer inputs a state vector of a tool path at the current moment; wherein the state vector is obtained through characteristic conversionaccording to a machining state fed back by a controlled machine tool sensor and a tool motion trail instruction, the output layer outputs a decision action at the current moment, and the decision action at the current moment is subjected to characteristic conversion to obtain a tool position at the next moment to serve as a servo instruction; training a decision model by utilizing a reinforcementlearning algorithm and combining a reward and punishment strategy; and finally, tool movement track control of the machine tool is completed by using the trained decision model. The method can respond to the change of the motion trail of the cutter in real time, supports the online modification of machining parameters, and improves the adaptability, machining precision and machining efficiency ofthe motion trail control of the numerical control system.

Description

technical field [0001] The invention belongs to the technical field of numerical control machining trajectory planning, and in particular relates to a neural network-based numerical control system movement trajectory control method. Background technique [0002] The CNC system is the core control device of the CNC machine tool, and the motion trajectory control in the CNC machining process is completed by the CNC system. The NC file is a file describing the tool movement trajectory during the machining process of the CNC machine tool, and the G code (ISO6983) format is usually used to describe the tool movement trajectory. According to the input NC file, the numerical control system realizes the parsing of the NC file through the compiling (decoding) module, and obtains the movement track of the tool. [0003] The tool motion trajectory control method of the CNC system is: according to the motion trajectory of the tool, the motion trajectory control of the CNC system is rea...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/408
CPCG05B19/4086G05B2219/35356
Inventor 李炳燃方俊肖建新叶佩青张辉
Owner TSINGHUA UNIV
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