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Arrival time control three-dimensional guidance method based on adaptive neural network

A time-of-arrival and neural network technology, applied in the field of aircraft guidance, can solve problems such as the lack of adaptive neural network arrival time control guidance methods, and achieve the effect of improving accuracy and interference suppression capabilities

Active Publication Date: 2022-04-22
NORTHWESTERN POLYTECHNICAL UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Adaptive neural network can effectively improve control accuracy and interference suppression, but there is still a lack of time-of-arrival control guidance method based on adaptive neural network

Method used

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  • Arrival time control three-dimensional guidance method based on adaptive neural network
  • Arrival time control three-dimensional guidance method based on adaptive neural network
  • Arrival time control three-dimensional guidance method based on adaptive neural network

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Embodiment Construction

[0037] In order to make the object, technical solution and advantages of the present invention clearer, refer to the attached figure 1 -4 further illustrate the present invention.

[0038] The invention is a three-dimensional time-of-arrival control guidance method based on an adaptive neural network, and the design process is as follows: figure 1 As shown, it specifically includes the following steps:

[0039] Step 1: Construct the three-dimensional motion mathematical model of the aircraft relative to the target.

[0040] The relative motion relationship between the aircraft and the target in three-dimensional space can be expressed as:

[0041] (1)

[0042] In the formula, R Indicates the distance between the aircraft and the target, and is the line-of-sight inclination and line-of-sight deviation angle of the aircraft relative to the target, a x ,a y and a z In line of sight coordinate system x , y and z direction of acceleration.

[0043] Step 2: Pr...

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Abstract

The invention provides an arrival time control three-dimensional guidance method based on an adaptive neural network, so that an aircraft reaches a target at a specified moment. The method comprises the following steps: firstly, giving a relative motion relation between an aircraft and a target in a three-dimensional space; secondly, predicting the remaining flight time of the aircraft, and constructing an arrival time error variable; thirdly, introducing a neural network adaptive law and a first-order low-pass filter; and finally, giving an arrival time control guidance law. The method can improve the arrival time control guidance precision and the interference suppression capability, and ensures that the aircraft arrives at the target at the expected moment.

Description

technical field [0001] The invention relates to an aircraft guidance method, which belongs to the field of aircraft guidance and control, in particular to a time-of-arrival control three-dimensional guidance method based on an adaptive neural network, which can make an aircraft reach a target at a specified time. Background technique [0002] In view of the fact that some special tasks have specific requirements on the arrival time of the aircraft, the guidance method considering the arrival time constraint has attracted extensive attention of researchers in the field of aircraft guidance. The time-of-arrival control guidance method can make the aircraft reach the target at a specified time, which is of great significance for the realization of timed arrival at the target or multi-aircraft saturation attack. The method design of time-of-arrival control guidance usually constructs the time-of-arrival error first, and then designs the time-of-arrival control guidance law to ma...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 李国飞吕金虎吴云洁凡永华皇甫逸伦左宗玉王森赖超
Owner NORTHWESTERN POLYTECHNICAL UNIV