Artillery is responsible for the backbone of conventional weapon firepower on the battlefield and influences the course of the war.The projectile is often subjected to a large amount of pressure in an instant during the firing process,and obtaining such pressure data and other relevant parameters and analyzing them can optimize and improve the design performance of the gun.To obtain the accurate pressure and acceleration of the projectile within a very short period of time during firing,this paper designs a test instrument that can accurately measure the transient large-value pressure and acceleration of the projectile base in the harsh conditions of powder burning.The tester adopts CPLD as the main control chip,which has a smaller size and stronger impact resistance than similar products,and adopts 35 CrMnSi as the protective case material to protect the normal operation of the internal circuitry.In addition,this paper analyzes and calculates the shell pressure transfer pipeline effect,and improves the mechanical structure of the pipeline in the project to improve the accuracy of the measurement signal.Finally,the test of a domestic type of artillery projectile firing was completed,and transient large-value pressure data and axial acceleration data were obtained and data analysis and correction were performed.Since the piezoelectric sensor is used in this paper,it will be affected by the acceleration effect in the process of data acquisition,which will lead to errors in the data.To address this phenomenon,the transient bulk pressure data and the axial acceleration data are analyzed in this paper.Firstly,the charge leakage phenomenon of the piezoelectric sensor conditioning circuit during the test is investigated;secondly,the model of the acceleration effect is identified by using the recursive least squares(RLS)method based on system identification,and the transfer function is obtained;finally,the data correction of the transient bulk pressure test data is carried out by using MATLAB-Simulink software,and the results show that The model identified by RLS can correct the coupled pressure signal. |