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An Accuracy Sensitivity Analysis Method of Aircraft Fire Control System Based on Neural Network

A sensitivity analysis and fire control system technology, applied in the field of aircraft fire control, can solve the problems of restricting the development, development and testing of weapons and equipment, the complexity of the fire control system, and the difficulty of data acquisition

Active Publication Date: 2021-09-14
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

[0004] In the field of military industry, it is often difficult to evaluate the relative accuracy of an existing aircraft system due to cost issues and operational difficulties. For complex systems, it is often difficult to conduct accuracy analysis on the numerous factors that affect the hit probability of strikes. This limits the development, development and testing of weapons and equipment to a certain extent
At the same time, the fire control system is complex and data acquisition is difficult. How to use existing data for effective precision analysis has become a key issue in improving the performance of the aircraft fire control system.

Method used

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  • An Accuracy Sensitivity Analysis Method of Aircraft Fire Control System Based on Neural Network
  • An Accuracy Sensitivity Analysis Method of Aircraft Fire Control System Based on Neural Network
  • An Accuracy Sensitivity Analysis Method of Aircraft Fire Control System Based on Neural Network

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specific Embodiment

[0166] The aircraft fire control system accuracy sensitivity analysis method based on neural network proposed by the present invention is simulated by computer simulation, and the simulation environment is set to: the simulation step size is 0.1 second, and the simulation time is less than 45 seconds; assuming that the current situation is: enemy aircraft Intrude into our airspace with a constant speed and uniform linear motion, our manned aircraft will intercept it, and our aircraft will use radar equipment to detect and strike. The specific scenarios and notes are shown in Table 1:

[0167] Table 1 XML combat scenario content

[0168]

[0169]

[0170] The selected indexes include inertial navigation positioning accuracy index, inertial navigation heading accuracy index, inertial navigation attitude accuracy index, inertial navigation speed accuracy index, air machine data system measurement high precision index, radar detection distance accuracy index, radar detection...

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Abstract

The invention discloses a neural network-based accuracy sensitivity analysis method for an aircraft fire control system. By introducing a local sensitivity algorithm and a global sensitivity algorithm into the index sensitivity analysis of an aircraft fire control system, according to the organic Combination, comprehensive use of the entropy method and the Sobol method, the analysis accuracy of the sensitivity coefficient of the accuracy index of the aircraft fire control system is improved. The invention adds and trains a BP neural network in the aircraft fire control system, fits the accuracy index and the final killing probability of the aircraft fire control system, and quickly and effectively expands the required sample data. Through the precision optimization allocation algorithm, the optimal allocation of the accuracy index of the aircraft fire control system is realized. The present invention can well solve the problem of analysis and evaluation of multi-precision indicators in the aircraft fire control system under the condition of insufficient data samples. Based on the learning and analysis of the neural network, the experimental data can be rapidly expanded, ensuring that the aircraft fire control system reaches the specified kill rate.

Description

technical field [0001] The invention belongs to the technical field of aircraft fire control, and in particular relates to a fire control accuracy sensitivity analysis method. Background technique [0002] In recent years, with my country's attention and emphasis on the correlation analysis of aircraft fire control system error and accuracy, people put forward higher requirements for the correlation analysis of aircraft fire control system error and accuracy, so the "aircraft fire control system error The topic of correlation analysis with accuracy” has become the focus of the fire control industry. In order to maximize the performance of the aircraft fire control system, on the one hand, it is necessary to improve the use of the fire control system, and on the other hand, it is necessary to pay attention to the analysis of the precision sensitivity of the aircraft fire control system. For various aircraft, whether it is an armed helicopter or a fighter or other types of air...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/15G06F30/27G06N3/04G06N3/08
CPCG06F30/27G06F30/15G06N3/084G06N3/048
Inventor 高晓光汪强龙谭翔元
Owner NORTHWESTERN POLYTECHNICAL UNIV
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