An uncertain optimization method of gun projectile initial disturbance

Abstract

The invention discloses an uncertain optimization method of gun projectile initial disturbance, which establishes a dynamical model of gun-projectile integration, screens test points in the value range of uncertain factors, substitutes the finite element analysis into the dynamical model of gun-projectile integration, and establishes a BP neural network agent model of gun-projectile integration dynamical model, carried out the Monte Carlo simulation on the BP neural network surrogate model of the integrated dynamics model of projectiles and artillery and the mean and determines the variance ofthe initial disturbance of projectiles; constructs the probability constraint function of interior ballistic performance index, and constructs the uncertain objective function by the mean and standard deviation of initial disturbance, and establishes the stochastic uncertain optimization model of interior ballistic performance. The stochastic uncertain optimization model of launching performancein bore is solved by using multi-objective genetic algorithm, and the optimal distribution interval of design variables is obtained. The invention realizes the uncertain optimization of the initial disturbance of the artillery projectile, and can obtain the parameter interval of the artillery projectile conforming to the target performance.

Description

Technical field [0001] The invention relates to artillery technology, in particular to an uncertain optimization method for projectile initial disturbance. Background technique [0002] The movement process of the artillery projectile in the bore is a random and uncertain process. Any changes in the artillery chamber structure parameters, projectile structure parameters, and firing charge parameters will have a great impact on the final firing result. Most of the existing technologies take the projectile-gun coupling system as the research object, and regard the whole process of the projectile in the bore as a deterministic process, and through the analysis of single factors one by one, the influence of the changes of different factors on the initial disturbance is studied. For example, in the article "Analysis and Optimization of Artillery Structure Parameters Affecting Projectile Initial Disturbance", Li Qiang established a finite element model of a large-caliber light towed ar...

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Problems solved by technology

For example, Li Qiang et al. established a coupling finite element model of a large-caliber light-weight towed artillery shell in the article "Analysis and Optimization of a Gun's Structural Parameters Affecting Projectile Initial Disturbance", and used the radial basis neural network approximation model method to estimate the projectile initial Disturbance optimization research, this method is deterministic optimization of projectile initial disturbance, the obtained design variable optimization results are all deterministic parameter combinations, unable to adapt to the uncertain problems in actual production, lack of constructive parameters range to guide production

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