Homing missile autopilot response sensitivity to stability derivative variations

F. Nesline, M. Nesline
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引用次数: 19

Abstract

In a recent study, the robustness of a tail controlled homing missile constant gain autopilot to changes in the aerodynamic stability derivative M¿ was examined. The constant gains were determined from nominal values of the aerodynamic control derivative, M¿, and the stability derivative. The stability derivative was then varied in the positive direction until damping degraded to unacceptable levels and in the negative direction until the system time constant became too slow to achieve a successful intercept against a maneuvering target. Therefore the range of M¿'s realized represented an allowable uncertainty in M¿. In this paper it is shown that the robustness to variations in M¿ of an autopilot designed about a nominal M¿ and M¿ is strongly dependent on M¿ and less dependent on the nominal value of M¿. If M¿ and M¿ values are known accurately and gains can be calculated at each value, then a variable gain flight control system can be designed. It is shown that the range of M¿ values which a variable gain flight control system can tolerate is much larger than the range of M¿ values which a fixed gain flight control system can handle. The effect of the open loop crossover frequency ¿CR and the actuator bandwidth on the allowable region of M¿ for both a constant gain and a variable gain flight control system is also discussed. This expansion on the previous study will become more important as improvements in computer technologies such as larger throughput and memory capability allow the autopilot to become more sophisticated.
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寻的导弹自动驾驶仪对稳定性导数变化的响应灵敏度
在最近的一项研究中,研究了尾翼制导导弹恒增益自动驾驶仪对气动稳定性导数M¿变化的鲁棒性。恒定增益由气动控制导数M¿和稳定性导数的标称值确定。然后,稳定性导数在正方向上变化,直到阻尼下降到不可接受的水平;在负方向上变化,直到系统时间常数变得太慢,无法实现对机动目标的成功拦截。因此,实现的M′s范围表示M′中允许的不确定度。本文证明了根据标称M¿和M¿设计的自动驾驶仪对M¿变化的鲁棒性强烈依赖于M¿,而较少依赖于M¿的标称值。如果M¿和M¿值是准确已知的,并且可以计算每个值的增益,那么就可以设计变增益飞行控制系统。结果表明,变增益飞行控制系统所能承受的M′值范围远大于定增益飞行控制系统所能承受的M′值范围。讨论了定增益和变增益飞行控制系统的开环交叉频率¿CR和作动器带宽对M¿允许范围的影响。随着计算机技术的进步,如更大的吞吐量和内存容量使自动驾驶仪变得更加复杂,这种对先前研究的扩展将变得更加重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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