Dynamic Analysis And Structural Optimization Of The Two-degree-of-freedom Coordinated Bomb Carrier

Ammunition automatic loading system is the core of artillery weapon system.As an important part of the automatic loading system,the performance of shell transfer arm directly affects the performance of the ammunition automatic loading system.In this paper,combined with multi-body dynamics,PID control,optimization design,interval uncertainty optimization,artificial neural network and other theories,a new type of two-degree-of-freedom shell transfer arm is studied.The main research contents are as follows:(1)In order to analyze the dynamics of two-degree-of-freedom shell transfer arm,a rigid-flexible coupling dynamics model of the coordination process is established using Hyper Works and ADAMS.A PID control block diagram is set up in Simulink to realize the co-simulation of the coordination process.The stress response of the coordination arm is analyzed.The dynamics model of the projectile is established,and the extreme conditions of the foundation is obtained through simulation analysis.(2)In order to optimize the structure of the base,a finite element model of the base is established.Based on the theory of structure optimization and topology optimization,OptiStruct software is used to optimize the topology of the base and size optimization.The base structure is reduced in weight.(3)To establish the relationship between variables and response in the coordination process,the uncertainty parameters that affect the stress response of the coordination arm during the coordination process are analyzed.Using the BP neural network,the GA-BP neural network and the RBF neural network,the dynamical surrogate model of the coordination process is established respectively,and the prediction accuracy of the three kinds of surrogate models are compared.The RBF neural network surrogate model is selected.(4)To optimize the coordination arm under the influence of uncertain parameters,the uncertainty of optimization is transformed into the deterministic optimization using the relation of the number of intervals.Based on the surrogate model,the intelligent optimization algorithm is used to solve the optimization mathematical model of interval uncertainties.The rationality of the structure after optimization is verified and the weight is reduced.