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A Variable-Rate Firing Optimization of Launcher Based on Particle Swarm Optimization

机译:基于粒子群优化的发射器的可变速率射击优化

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摘要

In the continuous firing process of the launcher, the firing rate is usually taken as a fixed value. As such, there exists an issue that low rate firing lacks shooting efficiency while in high rate firing cases the heat accumulates continuously and the temperature increases rapidly in the barrel of the launcher; consequently, this high temperature threatened the service life of the barrel and the safety of the propellant. In this paper, in contrast to the traditional firing method that has a fixed firing rate, a variable-rate firing method is proposed to solve this issue. Particle swarm optimization algorithm is exploited in this method to optimize the firing rate (cooling time) of the launcher with the objective that the launcher can conduct the entire shooting in a properly short time while without exceeding the safe temperature of the barrel. The temperature distribution of the barrel is obtained by establishing and solving the coupled model between the interior ballistics and the heat transfer process in the barrel. The optimization results show that the proposed firing method with variable rates can effectively improve the firing rate under the premise of ensuring the safety of the barrel temperature.
机译:在发射器的连续射击过程中,射击率通常被视为固定值。因此,存在低速率射击缺乏拍摄效率的问题,而在高速射击情况下,热量累积连续,并在发射器的桶中迅速增加温度;因此,这种高温威胁到桶的使用寿命以及推进剂的安全性。本文与具有固定射击率的传统射击方法相比,提出了一种可变速率触发方法来解决这个问题。在这种方法中利用粒子群优化算法,以优化发射器的射击率(冷却时间),目的是发射器可以在不超过桶的安全温度的情况下在正确的时间内进行整个拍摄。通过在内部弹道学和筒中的传热过程之间建立和解决耦合模型来获得桶的温度分布。优化结果表明,在确保桶温度的安全性下,具有可变速率的提出的射击方法可以有效地提高烧制率。

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