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首页> 外文期刊>Journal of guidance, control, and dynamics >Roll Orientation Estimator for Smart Projectiles Using Thermopile Sensors
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Roll Orientation Estimator for Smart Projectiles Using Thermopile Sensors

机译：使用热电堆传感器的智能弹丸侧倾方向估计器

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摘要

The use of inexpensive, commercially available thermopiles sensors for roll orientation estimation of spinning bodies is explored. The sensors convert observed thermal gradients into an electrical signal well suited for onboard data acquisition and real-time signal processing. An environmental model emulating sensor stimulus for a six-degree-of-freedom body is generated given standard atmospheric and typical ground conditions. When sensor characteristics are included, the fully developed model can be used to generate accurate sensor output as a function of Euler angles and altitude. Outputs from the model are then shown to compare favorably with experimental flight data, capturing the predominant and nearly sinusoidal signal variation as the projectile rolls. An extended Kalman filter algorithm is offered, which enables real-time roll angle and roll rate estimation using solely thermopiles as feedback. Example results demonstrate that the algorithm yields reasonably accurate roll information. Finally, a trade study demonstrates that roll error is further mitigated as the number of thermopile sensors is increased. This research shows that thermopiles could be useful in a diverse multisensor constellation as a convenient absolute inertial roll reference.
机译：探索了使用便宜的，可商购的热电堆传感器来估计纺丝体的辊取向。传感器将观察到的热梯度转换为电信号，非常适合车载数据采集和实时信号处理。在给定标准大气和典型地面条件下，会生成一个环境模型，该模型模拟六自由度传感器的刺激。当包括传感器特性时，可以使用完全开发的模型来生成精确的传感器输出，作为欧拉角和高度的函数。然后显示该模型的输出可与实验飞行数据进行比较，捕获随着弹丸滚动而产生的主要和近乎正弦的信号变化。提供了扩展的卡尔曼滤波算法，该算法可仅使用热电堆作为反馈来进行实时侧倾角和侧倾率估计。实例结果表明，该算法可得出相当准确的侧倾信息。最后，一项贸易研究表明，随着热电堆传感器数量的增加，滚动误差会进一步减轻。这项研究表明，热电堆作为便利的绝对惯性侧倾参考可以在多种多样的多传感器星座中使用。

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