A multi-condition structure optimization method for weapon station based on kriging algorithm

Abstract

The invention provides a multi-working-condition structure optimization method of a weapon station on the basis of a Kriging algorithm. The method comprises the following steps: 1: giving the range of a support frame elasticity modulus, the range of cartridge box quality and the range of buffer rigidity; 2: adopting Latin hypercube experiment design to select and obtain N groups of sample points; 3: calculating gun muzzle vibration comprehensive parameters; 4: combining the N groups of sample points with N gun muzzle vibration comprehensive parameters to form an initial training sample point set; 5: using a genetic algorithm to carry out optimization on a Kriging surrogate model to find an optimal point and a maximum expectation improvement point; 6: on the basis of a dual Kriging model sequence iterative optimization algorithm, carrying out optimization on a structure parameter optimization problem until convergence is realized; and 7: obtaining the structure optimization parameters of different angles of fire, and substituting the optimal structure parameter of each angle of fire into weapon station dynamics models under other working conditions, and looking for the structure parameter with a maximum average optimization range as a final structure optimization parameter.

Description

technical field [0001] The invention belongs to the technical field of weapon stations, in particular to a Kriging algorithm-based multi-working-condition structure optimization method for weapon stations. Background technique [0002] When the artillery is fired, the instantaneous high temperature and high pressure generated by the combustion of the gunpowder pushes the projectile to move at high speed in the chamber, and the inertia of the artillery causes the artillery to vibrate violently, resulting in changes in the direction of the muzzle, which seriously affects the shooting accuracy. Studying the muzzle disturbance and its changing law of artillery firing has important theoretical significance for evaluating and examining artillery performance, appraising artillery production quality, and improving artillery shooting accuracy. The muzzle disturbance is minimized by optimizing the structural parameters of the overhead weapon station. Contents of the invention [00...

AI Technical Summary

Problems solved by technology

[0003] The present invention designs and develops a multi-working-condition structural optimization method for weapon stations based on the Kriging algorithm. By optimizing the structural parameters, the parameters with the largest optimization range under different firing angles are obtained, and the structural parameters with the largest average optimization range are obtained as the final structure. Optimized parameters to solve the problem that the large amount of muzzle disturbance affects the shooting accuracy

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