使用神经形态事件感知和压电驱动在纳卫星上实现高频高精度指向
High Frequency, High Accuracy Pointing onboard Nanosats using Neuromorphic Event Sensing and Piezoelectric Actuation
AI总结：
针对纳卫星指向精度不足的问题，提出一种结合神经形态事件传感器与压电平台的新型有效载荷，通过闭环控制实现高频高精度的姿态校正，在50Hz下达到1-5角秒指向精度。
摘要：
随着卫星变得越来越小，维持稳定指向的能力会因作用于卫星上的外力介入而下降。同时，姿态确定与控制系统（ADCS）中使用的反作用轮会引入高频抖动，从而破坏指向稳定性。对于追踪数万公里外物体的空间域感知（SDA）任务而言，当前纳卫星提供的指向精度（通常在10到100角秒范围内）是不够的。在本研究中，我们开发了一种新型有效载荷，利用神经形态事件传感器（用于高频且高精度的相对姿态估计）与压电平台（用于主动姿态校正）在闭环中配对，以提供高度稳定的传感器特定指向。事件传感器因其低功耗、异步操作和高动态范围的理想特性，特别适合空间应用。我们使用事件传感器首先估计参考背景星场，由此以高频估计出瞬时相对姿态。压电平台与事件传感器在闭环控制中工作，根据当前姿态与期望姿态之间的差异执行姿态校正。在受控环境中的结果表明，使用我们的新型有效载荷，利用由商用现成组件构建的原型，在高达50Hz的工作频率下，可以实现1-5角秒范围内的指向精度。更多细节可访问 https://ylatif.github.io/ultrafinestabilisation
英文摘要：
As satellites become smaller, the ability to maintain stable pointing decreases as external forces acting on the satellite come into play. At the same time, reaction wheels used in the attitude determination and control system (ADCS) introduce high frequency jitter which can disrupt pointing stability. For space domain awareness (SDA) tasks that track objects tens of thousands of kilometres away, the pointing accuracy offered by current nanosats, typically in the range of 10 to 100 arcseconds, is not sufficient. In this work, we develop a novel payload that utilises a neuromorphic event sensor (for high frequency and highly accurate relative attitude estimation) paired in a closed loop with a piezoelectric stage (for active attitude corrections) to provide highly stable sensor-specific pointing. Event sensors are especially suited for space applications due to their desirable characteristics of low power consumption, asynchronous operation, and high dynamic range. We use the event sensor to first estimate a reference background star field from which instantaneous relative attitude is estimated at high frequency. The piezoelectric stage works in a closed control loop with the event sensor to perform attitude corrections based on the discrepancy between the current and desired attitude. Results in a controlled setting show that we can achieve a pointing accuracy in the range of 1-5 arcseconds using our novel payload at an operating frequency of up to 50Hz using a prototype built from commercial-off-the-shelf components. Further details can be found at https://ylatif.github.io/ultrafinestabilisation
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
