Abstract
To reduce the missing distance and lessen energy consumption, the handing-over point with regard to proportional guidance law was analyzed for KKV (kinetic kill vehicle). The expected position of handing-over point was defined; the approximate nonlinear relationship between the expected position and the trajectory angles of the target was investigated by a BP neural networks. The expected position was obtained by the trained network. Simulation experiments prove that starting terminal guidance at the expected position could lessen energy consumption effectively as well as assure the required interception accuracy. The expected position obtained by this means is a real-time reference standard for adjusting the position of KKV during handing-over phase.
| Original language | English |
|---|---|
| Pages (from-to) | 332-335 |
| Number of pages | 4 |
| Journal | Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics |
| Volume | 33 |
| Issue number | 3 |
| State | Published - Mar 2007 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- BP networks
- Interception accuracy
- Kinetic kill vehicle
- Terminal guidance
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