CN-121979318-A - Cutting tool control method, controller and cutting tool

CN121979318ACN 121979318 ACN121979318 ACN 121979318ACN-121979318-A

Abstract

The invention provides a control method of a cutting tool, a controller and the cutting tool, and relates to the technical field of intelligent control. The method comprises the steps of collecting vibration state data and cutting environment data of a cutting tool in a cutting process, decomposing the vibration state data to obtain high-frequency characteristics and low-frequency characteristics, generating characteristic vectors according to the high-frequency characteristics, the low-frequency characteristics and the cutting environment data, identifying the characteristic vectors, determining a vibration mode, obtaining control parameters, and generating reverse vibration waves according to the control parameters, wherein the directions of the reverse vibration waves are opposite to those of vibration waves generated by the cutting tool in the cutting process. The invention can obtain the corresponding reverse vibration waves in different vibration modes, and counteract the vibration waves generated by the cutting tool in the cutting process through the generated reverse vibration. Therefore, severe vibration of the cutting equipment during operation is prevented, cutting precision is affected, and safety of operators is guaranteed.

Inventors

SU NING
HAN XIAOFEN
WANG LINGYING
ZHAO RAN
WANG MINGDA
ZHANG YIFEI
CHENG ZHAOGANG
HE WANHENG
ZHAO FANG
WANG YAN
SUN LIMING
LI ZHAOHUI
CAO HONGNA

Assignees

中国人民解放军陆军工程大学

Dates

Publication Date: 20260505
Application Date: 20251229

Claims (10)

1. A method of controlling a cutting tool, comprising: collecting vibration state data and cutting environment data of a cutting tool in the cutting process; Decomposing the vibration state data to obtain high-frequency characteristics and low-frequency characteristics; generating a feature vector according to the high-frequency feature, the low-frequency feature and the cutting environment data; identifying the feature vector, determining a vibration mode and obtaining control parameters; and generating reverse vibration waves according to the control parameters, wherein the reverse vibration waves are opposite to the vibration waves generated by the cutting tool in the cutting process.
2. The method of claim 1, wherein the decomposing the vibration state data to obtain a high frequency characteristic and a low frequency characteristic comprises: and carrying out time-frequency domain decomposition on the vibration state data, and respectively extracting high-frequency characteristics and low-frequency characteristics to obtain the high-frequency characteristics and the low-frequency characteristics.
3. The method of claim 1, wherein identifying the feature vector, determining a vibration pattern, and obtaining a control parameter comprises: and inputting the characteristic vector into a pre-constructed control model, identifying a vibration mode and obtaining control parameters.
4. The method for controlling the cutting tool according to claim 3, wherein the pre-constructed control model comprises a graphic neural network layer and a long-short-term memory network layer, wherein the graphic neural network layer is constructed according to the mechanical structure of the cutting tool, and nodes in the graphic neural network layer represent positions of acquisition equipment for acquiring the vibration state data and represent propagation paths of vibration; The feature vector is input into a pre-constructed control model, a vibration mode is identified, and control parameters are obtained, wherein the method comprises the following steps: Inputting the characteristic vector into the graphic neural network layer in the pre-constructed control model to obtain the spatial propagation characteristic of vibration; and inputting the space propagation characteristics into the long-term and short-term memory network layer, identifying a vibration mode, and obtaining control parameters.
5. The method according to claim 4, wherein inputting the feature vector into a control model constructed in advance, recognizing a vibration mode, and obtaining a control parameter, comprises: Inputting the characteristic vector into the long-period memory network layer in the pre-constructed control model to obtain the time sequence change characteristic of vibration; and inputting the time sequence change characteristics into the graph neural network layer, identifying a vibration mode and obtaining control parameters.
6. A method of controlling a cutting tool according to claim 3, wherein generating a reverse vibration wave according to the control parameter comprises: Determining the frequency, amplitude and phase of the reverse vibration wave according to the control parameters; Generating a reverse vibration wave signal according to the frequency, the amplitude and the phase; and generating a high-frequency reverse vibration wave and a low-frequency reverse vibration wave according to the reverse vibration wave signal.
7. The method of controlling a cutting tool according to claim 1, further comprising: Recovering vibration energy of the cutting tool in the cutting process; The vibration energy is converted to electrical energy and the electrical energy is distributed to the power modules of the cutting tool.
8. The method of claim 7, wherein said converting said vibrational energy into electrical energy and distributing said electrical energy to individual power modules of said cutting tool comprises: judging whether the electric energy is greater than the power consumption of the cutting tool or not; If not, converting the vibration energy into electric energy, and distributing the electric energy to each power utilization module of the cutting tool; If yes, the electric energy and the electric energy difference of the power consumption of the cutting tool are stored.
9. A controller comprising a memory storing a computer program and a processor implementing the method of any of claims 1 to 8 when the computer program is executed.
10. A cutting tool, comprising a tool body, a tool protective shell and a handle, wherein the handle comprises a driving device, an actuating mechanism and the controller as claimed in claim 9, and the actuating mechanism is used for generating reverse vibration waves.

Description

Cutting tool control method, controller and cutting tool Technical Field The invention relates to the technical field of intelligent control, in particular to a control method of a cutting tool, a controller and the cutting tool. Background On the battlefield, the equipment rush repair is a key support link of the battlefield action of the troops, and plays a decisive role in recovering and maintaining the battlefield force of the troops and guaranteeing the battlefield win. The core task of the system covers full-process work such as rescue of damaged or silted equipment, emergency repair of damaged equipment, accurate supply of rescue and repair equipment and the like, wherein the system improves the actual combat performance of the rescue equipment and is an important subject for guaranteeing a line of defense of the firmly built equipment. In the technical field of armored vehicle maintenance, quick rescue devices suitable for different types of armored vehicles are proposed at present, and the devices comprise a bottom plate, a rigid traction device, a universal connection device and a hydraulic pressure and control system thereof so as to improve rescue efficiency and safety. However, in practical application, for the situation that the crawler is jammed or the gun turret escape door is damaged, the existing equipment still lacks special rescue tools capable of rapidly cutting high-strength materials such as armor, caterpillar tracks and the like, and becomes a bottleneck for limiting the rush repair efficiency. The iterative development of the intelligent vibration sensor technology is worth focusing on, and a new path is provided for breaking through the technical bottleneck. The technology can realize real-time acquisition, conversion processing and interactive transmission of vibration data, can accurately monitor the vibration state in the cutting process, and has important value for improving the cutting precision and reducing the operation risk. However, the inventor researches and discovers that the lack of a matched efficient vibration control strategy in the related technology leads to severe vibration easily generated during cutting operation, so that the cutting precision is seriously affected, and the safety of operators is obviously threatened. Disclosure of Invention The embodiment of the invention provides a control method of a cutting tool, a controller and the cutting tool, which are used for solving the problems that the cutting precision is affected and potential safety hazards exist due to severe vibration of cutting equipment during operation. In a first aspect, an embodiment of the present invention provides a method for controlling a cutting tool, including: collecting vibration state data and cutting environment data of a cutting tool in the cutting process; decomposing the vibration state data to obtain high-frequency characteristics and low-frequency characteristics; Generating a feature vector according to the high-frequency features, the low-frequency features and the cutting environment data; identifying the feature vector, determining a vibration mode and obtaining control parameters; And generating reverse vibration waves according to the control parameters, wherein the reverse vibration waves are opposite to the vibration waves generated by the cutting tool in the cutting process. In one possible implementation, decomposing the vibration state data to obtain a high frequency characteristic and a low frequency characteristic includes: And carrying out time-frequency domain decomposition on the vibration state data, and respectively extracting high-frequency characteristics and low-frequency characteristics to obtain the high-frequency characteristics and the low-frequency characteristics. In one possible implementation, identifying the feature vector, determining the vibration mode, and deriving the control parameter includes: And inputting the feature vector into a pre-constructed control model, identifying the vibration mode, and obtaining the control parameters. In one possible implementation, the pre-constructed control model comprises a graphic neural network layer and a long-short-period memory network layer, wherein the graphic neural network layer is constructed according to the mechanical structure of the cutting tool, and nodes in the graphic neural network layer represent the positions of acquisition equipment for acquiring vibration state data and represent the propagation path of vibration; Inputting the feature vector into a pre-constructed control model, identifying a vibration mode, and obtaining control parameters, wherein the method comprises the following steps of: in a pre-constructed control model, inputting the feature vector into a graph neural network layer to obtain the spatial propagation feature of vibration; and inputting the space propagation characteristics into the long-term and short-term memory network layer, identifying the vibration mo