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Impact Point Model Predictive Control of a Spin-Stabilized Projectile with Instability Protection

机译:具有不稳定性保护的自旋稳定弹丸的冲击点模型预测控制

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Most smart projectile control systems generate lateral control forces to guide the round to a target. Experience has shown that under the right combination of body orientation, translational velocity, and angular velocity, relatively low lateral control force inputs can induce instability of the round. To solve this problem, an additional control logic layer is appended to a nominal impact point flight control law to protect it from instability in these infrequent, but consequential situations. To highlight the newly developed control logic, a smart 155mm spin stabilized projectile equipped with a rotating paddle control mechanism is considered. For this example configuration, cross range maneuvering occasionally induces instability. Simulation results, using both rigid and multi-body nonlinear flight dynamics models, indicate the addition of the instability protection layer in the control logic prevents projectile instability while not substantially altering target impact statistics. The nature of this protector design lends itself well to the use of a GPU to perform the calculations, greatly decreasing the computation time needed.
机译:大多数智能弹丸控制系统都会产生横向控制力,以将子弹引导至目标。经验表明,在正确的身体方位,平移速度和角速度的组合下,相对较低的横向控制力输入会导致发球不稳定。为了解决该问题,在名义上的冲击点飞行控制定律上附加了一个附加的控制逻辑层,以保护其在这些偶发但不重要的情况下免受不稳定的影响。为了突出新开发的控制逻辑,考虑了配备有旋转桨叶控制机构的智能155毫米自旋稳定弹丸。对于此示例配置,跨范围操纵偶尔会引起不稳定性。使用刚性和多体非线性飞行动力学模型的仿真结果表明,控制逻辑中增加了不稳定性保护层,可以防止弹丸不稳定性,而不会实质性地改变目标撞击统计数据。这种保护器设计的性质非常适合使用GPU执行计算,从而大大减少了所需的计算时间。

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