Abstract
To further improve the energy management efficiency of the solid divert and attitude control system of the multi-objective kill vehicle (MOKV),and obtain the minimum overall mass scheme,a propulsion system design method for MOKV based on the guidance strategy was proposed. Firstly, a rapid evaluation method for the multi-pulse guidance strategy based on linear covariance analysis was proposed to determine the maximum velocity increment required for each maneuver. Then, the layout scheme of the three-pulse solid divert and attitude control propulsion system with a symmetrical dual-combustion chamber was determined, which featured a simple structure and high controllability. Subsequently,performance parameter and mass models for the propulsion system were established,and an optimal design process of the propulsion system based on the guidance strategy was developed. Through iterative optimization using phase diagram analysis,the mass-optimized solution satisfying size constraints can be obtained, and the design criteria for the sub-interceptors were further provided. Finally, a case design was carried out for typical application scenarios, and the miss distance was evaluated through Monte Carlo random test. The case results showed that the MOKV can carry 12 sub-interceptors,with a total mass of 49.43 kg,an axial dimension of 540.7 mm,and a radial dimension of 231.9 mm. After three pulse ignitions,the maximum miss distance of the MOKV was reduced from the kilometer level to the hundred-meter level and even the ten-meter level,which can achieve precise interception of the target by the sub-interceptors. The theory and method proposed can provide a strong support for the high-efficiency energy management and lightweight design of MOKV.
| Translated title of the contribution | Propulsion system design method for multi-object kill vehicles based on guidance strategy |
|---|---|
| Original language | Chinese (Traditional) |
| Article number | 20240219 |
| Journal | Hangkong Dongli Xuebao/Journal of Aerospace Power |
| Volume | 40 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2025 |
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