Research On The Body Attitude Prediction Of A Self-propelled Anti-aircraft Gun Based On The Measured Acceleration Correction

As a highly mobile anti-air attack weapon system,the self-propelled antiaircraft artillery’s shooting accuracy is crucial to the effectiveness of the self-propelled antiaircraft artillery.As the vehicle chassis is the carrier of the anti-aircraft gun,studying its attitude changes during the shooting process can significantly improve the shooting accuracy.This paper designs a realtime prediction plan for the posture of the self-propelled anti-aircraft gun,which has important engineering value for improving the shooting accuracy of the self-propelled anti-aircraft gun.First of all,a rapid solution scheme for vehicle body posture based on rigid-flexible coupling modeling and mode superposition method is proposed,and two major schemes for model parameter correction based on experimental data and real-time recoil correction based on measured data are designed to meet the requirements of the vehicle body.The real-time and accuracy requirements of attitude prediction.Secondly,on the basis of the simplified model of the self-propelled antiaircraft gun,the Newton Euler equation and the finite element method are used for dynamic analysis,the direct stiffness method is used to construct the rigid-flexible coupling dynamics model of the whole gun,and the mode superposition method is used to realize the decoupling of the equations.And car body posture solution,and use finite element software to verify the feasibility of modeling method and solution method.Then,a self-propelled anti-aircraft gun shooting test plan with the four-dot array element method as the core was designed,a data acquisition system was built,and the test data were processed with low-pass filtering and Boolean operations to obtain the angular acceleration data of the lower seat ring.The optimization goal is to minimize the error between the threedimensional angular acceleration simulation data and the experimental data.The multiobjective genetic algorithm is used to implement the model parameter correction,and the correction effect is verified by the test data under another working condition.Finally,a real-time correction process of recoil is designed based on the model posture calculation and shooting test plan.The recoil influence coefficient is introduced to comprehensively evaluate the influence of the projectile charge,the temperature of the drug and the temperature of the anti-recoil device on the recoil.A single objective function is constructed based on the weighted summation method and the dimensionless mean square error function.The recoil correction is implemented by the particle swarm algorithm.The software and hardware development of the system is carried out on the basis of the overall plan.