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A Neural Network-Based Motion Trajectory Control Method of Numerical Control System

A technology of motion trajectory and neural network, which is applied in the field of CNC machining trajectory planning, can solve problems such as unsatisfactory intelligent manufacturing, and achieve the effects of efficient and smooth processing, improved adaptability, and good surface processing quality

Active Publication Date: 2021-10-08
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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  • A Neural Network-Based Motion Trajectory Control Method of Numerical Control System
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  • A Neural Network-Based Motion Trajectory Control Method of Numerical Control System

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Embodiment Construction

[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 present invention proposes a method for controlling motion trajectory of a numerical control system based on a neural network. First, a neural network is constructed as a decision-making model, including an input layer, several hidden layers, and an output layer. The input layer inputs the state vector of the tool trajectory at the current moment. The state vector is obtained through feature transformation based on the processing state fed back by the sensor of the controlled machine tool and the tool motion trajectory command. The output layer outputs the decision-making action at the current moment, and transforms the decision-making action at the current moment through feature transformation to obtain the tool position at the next moment. As a servo command; then use the reinforcement learning algorithm combined with the reward and punishment strategy to train the decision-making model; finally use the trained decision-making model to complete the tool movement trajectory control of the machine tool. The method of the invention can respond to the change of the tool motion track in real time, supports online modification of processing parameters, and improves the adaptability, processing accuracy and processing efficiency of the motion track 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...

Claims

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Application Information

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Patent Type & Authority Patents(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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