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Research On Gatling Gun Condition Monitoring System Based On Digital Twin

Posted on:2023-04-10Degree:MasterType:Thesis
Country:ChinaCandidate:J R MaFull Text:PDF
GTID:2532306905986639Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
High-speed rotating tube weapon system has the advantages of high shooting speed,fast initial speed and compact overall structure.It is mainly used for terminal defense of air defense and anti-missile system,and can effectively intercept air targets.However,due to its special barrel structure,the coupling effect between various barrels in the launch process of the rotary gun leads to the complex vibration of the barrel and the difficulty of measurement.In this case,the firing accuracy and firing stability of the rotary gun weapon will be affected.In order to solve this problem,the launch condition monitoring system of rotary gun is built in this paper.By applying multi-body dynamics technology,machine learning technology and digital twin technology to the monitoring system,the launch condition of rotary gun is displayed and the muzzle vibration is predicted.First of all,according to the launch characteristics of the tube gun,the launch mechanism and main structure analysis are completed.The muzzle vibration characteristics and vertical target density of the rotary tube gun are described,because the rotary tube gun has a multi barrel launching structure different from the general single tube gun.The overall architecture of the launch condition monitoring system based on digital twin is designed and modularized,including multi-body dynamics simulation module,machine learning prediction module and digital twin control module.Secondly,based on the theory of interior ballistics,the shooting process of projectile in bore is analyzed and the interior ballistic equation is solved.Based on the topological relationship of the components in the launch system,the multi-body dynamics analysis of the rotary gun launch system is carried out by multi-body dynamics theory.The process of model import,constraint establishment,load application and main components flexibility is completed in the simulation software,and the multi-body dynamics simulation of the rotary gun launch system is realized.The acceleration data and muzzle disturbance data of the key measuring points of the barrel are measured by the measurement function in the simulation software.Based on the theory of external ballistics,the muzzle disturbance is introduced into the calculation formula of artillery jump angle and the external ballistic equation to solve the vertical target dispersion coordinates.Then,the vibration data of key measuring points obtained by multi-body dynamics simulation are used as data sources and processed and analyzed.Through the LSTM neural network algorithm,the relationship model between the vibration data of the key measuring points of the barrel and the muzzle disturbance data is established.In the process of building the model,the neural network parameters are determined and the muzzle disturbance prediction model is obtained.Based on the Flask lightweight Web application framework,the artillery launch status information that needs to be displayed is summarized and analyzed,and the construction of the status monitoring interface is completed.Finally,the digital twin of the pipe gun is established in Unity3D software.Based on ADS communication protocol,the data communication and data interaction between the TwinCAT(PLC)control software and the digital twin are completed,and the control of the digital twin by TwinCAT is realized.TwinCAT(PLC)controls the drive and motor in physical artillery through EtherCAT field bus;based on the above two control methods,the virtualreal interconnection and virtual-real combination between the artillery digital twin and the physical artillery are realized,and the data transmission in the experimental process is transmitted to the PC terminal state monitoring system through the data collector to complete the prediction of muzzle disturbance.
Keywords/Search Tags:Gatling weapon, Multibody dynamics, Vertical target dispersion, Machine learning, Digital twins
PDF Full Text Request
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