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
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
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...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


