BNSobol method for sensitivity analysis on precision of Helicopter fire control system

A sensitivity analysis and fire control system technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of ensuring accuracy

Active Publication Date: 2016-05-25
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0007] The invention can well solve the sensitivity analysis problem of system accuracy under the condition of insufficient data volume, and guarantee the accuracy of analysis results

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  • BNSobol method for sensitivity analysis on precision of Helicopter fire control system
  • BNSobol method for sensitivity analysis on precision of Helicopter fire control system
  • BNSobol method for sensitivity analysis on precision of Helicopter fire control system

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Embodiment Construction

[0064] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0065] Step 1: Determine the error source and accuracy evaluation index of the helicopter fire control system

[0066] Using the sensitivity index defined by the Sobol index method, through variance decomposition, the model is decomposed into a single parameter and a function of the combination of parameters, and the parameters are analyzed by calculating the impact of the variance of a single input parameter or input parameter set on the total output variance. The importance of and the interaction effect between parameters.

[0067] The sensitivity indicators of the Sobol index method are defined as follows:

[0068] (1) The main effect, also known as the first-order sensitivity index is defined as describes X i The contribution of "single" to the variance of Y, whose value is within [0,1], sorts the sensitivity of each variable according to the si...

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Abstract

The invention provides a BNSobol method for sensitivity analysis on the precision of a Helicopter fire control system. The method comprises the steps of performing global sensitivity analysis of the influence of error sources on the precision of the fire control system by combining a Bayesian network and a Sobol index; establishing the Bayesian network according to priori knowledge; learning related parameters in the network through Bayesian estimation to obtain a probability that the precision of the fire control system reaches a specified level under the condition of taking different values for the error sources; and finally processing a probability result by utilizing Sobol method variance decomposition to obtain sensitivity coefficients of the error sources. The invention proposes a new sensitivity analysis mechanism combining the Bayesian network and the Sobol index method, thereby providing reference and theoretical support for performing the sensitivity analysis on the precision of the Helicopter fire control system under the condition of insufficient sample quantity, and providing an uncertain quick quantitative analysis concept for other large-sized complicated systems.

Description

technical field [0001] The invention relates to the field of aviation firepower control and intelligent decision-making and optimization, especially the field of helicopter fire control system. Background technique [0002] With its maneuverability, armed helicopters are playing an increasingly important role in modern warfare. Uncontrolled weapons such as machine guns, aerial guns, and rockets put forward high requirements for the accuracy of the helicopter fire control system. In actual combat, due to the complexity of the battlefield environment, attack conditions, and target movement, the accuracy of the fire control system is limited. The influence of many factors. It is very important to improve the performance of the fire control system to analyze the impact of these factors on the strike accuracy and the degree of influence. There have been studies at home and abroad that have analyzed the influence of different error sources on the accuracy of the helicopter fire ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/15
Inventor 高晓光贺楚超
Owner NORTHWESTERN POLYTECHNICAL UNIV
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