立方体卫星反力轮姿态控制平台

Justin Hartland, Dylan Ballback, Isaac Stitt, Ryan Taylor, Jacob Salazar, Ella Cheatham, Anuhya Suhas, Vishwam Rathod
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摘要

在传统的课堂教学中,航天器姿态动力学和控制通常是通过二维图解复杂的三维动力学来展示的。这往往导致学生在理论物理与实际应用之间难以找到平衡点。为了应对这一挑战,我们的项目旨在设计、开发和制造立方体卫星控制试验台。这些试验台配有反作用力轮,可实现自主姿态控制系统应用。值得注意的是,每个试验台都将包含三个不同的反作用力轮,每个反作用力轮都正交安装。这种布置可确保对所有三个自由度进行精确的姿态控制。这些立方体卫星试验台的多功能性使用户能够探索和实施各种控制系统。这些系统包括经典的 PID 控制器、状态空间控制方法、自适应控制器、滑动模式控制,以及模型预测控制和鲁棒控制方法等更先进的技术。该平台既可作为学生的教育工具,也可作为专业人员的研究设备。立方体卫星反力轮姿态控制平台的最终愿景是将其无缝集成到一个名为 "简易控制 "的专用网站上。在这里,全球用户都可以上传他们的控制算法。然后,他们就可以观看他们的算法在物理硬件上进行实时测试和操作的实时流。该平台不仅为学习者揭开了航天器控制动力学的神秘面纱,还促进了全球创新者社区的合作,并完善了他们的控制算法。
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CubeSat reaction wheel attitude control platform
In traditional classroom settings, spacecraft attitude dynamics and controls are typically presented through 2-D illustrations of complex 3-D dynamics. This often results in students finding it challenging to bridge the gap between theoretical physics and its practical, real-world applications. To address this challenge, our project aims to design, develop, and manufacture CubeSat controls testbeds. These testbeds are equipped with reaction wheels to enable autonomous attitude control system applications. Notably, each testbed will incorporate three distinct reaction wheels, each mounted orthogonally. This arrangement ensures precise attitude control in all three degrees of freedom. The versatility of these CubeSat testbeds allows users to explore and implement a broad range of control systems. These can range from classical PID controllers, state-space control methods, adaptive controllers, sliding mode control, to more advanced techniques like model predictive control, and robust control methods. The platform can serve both as an educational tool for students and a research apparatus for professionals. The ultimate vision for the CubeSat Reaction Wheel Attitude Control Platform is its seamless integration into a dedicated website called Easy Controls. Here, users worldwide can upload their control algorithms. They can then view a live stream of their algorithm being tested and operationalized in real-time on the physical hardware. This platform not only demystifies spacecraft control dynamics for learners but also fosters a global community of innovators collaborating and refining their control algorithms.
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