为小行星探测设计自适应导航控制器,确保视觉定位始终有效。
Autonomous Horizon-based Asteroid Navigation With Observability-constrained Maneuvers
- 基于可观测性约束设计控制律,避开视觉定位差的区域。
- 在蒙特卡洛测试中,成功率比传统方法提升94%。
- 适合深空探测中对自主导航可靠性要求高的任务。
小天体探测面临低重力环境与太阳辐射压等扰动的挑战,亟需自主导航技术保障飞行安全。本文提出一种可观测性约束的李雅普诺夫控制器,可在保持光学导航(OpNav)持续可观测的前提下,引导航天器到达目标轨道。通过设计可观测性路径约束,规避地平线式OpNav性能下降的区域,确保控制输入始终维持良好可观测性。该控制器集成于包含小天体动力学、合成图像生成、边缘检测、地平线式OpNav与滤波的仿真框架中。在球形与椭球形天体上的轨道维持及逼近圆化两个典型场景中进行评估。蒙特卡洛仿真显示,相较于无约束的李雅普诺夫基线,本方法在不发生可观测性失效的情况下抵达目标轨道的比例最高提升94%,显著优于传统方法。
原文摘要 · Abstract (English)
Small body exploration is a pertinent challenge due to low gravity environments and strong sensitivity to perturbations like Solar Radiation Pressure (SRP). Thus, autonomous methods are being developed to enable safe navigation and control around small bodies. These methods often involve using Optical Navigation (OpNav) to determine the spacecraft's location. Ensuring OpNav reliability would allow the spacecraft to maintain an accurate state estimate throughout its mission. This research presents an observability-constrained Lyapunov controller that steers a spacecraft to a desired target orbit while guaranteeing continuous OpNav observability. We design observability path constraints to avoid regions where horizon-based OpNav methods exhibit poor performance, ensuring control input that maintains good observability. This controller is implemented with a framework that simulates small body dynamics, synthetic image generation, edge detection, horizon-based OpNav, and filtering. We evaluate the approach in two representative scenarios, orbit maintenance and approach with circularization, around spherical and ellipsoidal target bodies. In Monte Carlo simulations, the proposed approach improves the rate of attaining target orbits without observability violations by up to 94% compared to an unconstrained Lyapunov baseline, demonstrating improved robustness over conventional methods.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。