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首页> 外文期刊>Space technology >MULTIBODY MODEL FOR SPACECRAFT DRAG-FREE CONTROL OF THE LASER INTERFEROMETER SPACE ANTENNA TECHNOLOGY DEMONSTRATION MISSION SMART-2
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MULTIBODY MODEL FOR SPACECRAFT DRAG-FREE CONTROL OF THE LASER INTERFEROMETER SPACE ANTENNA TECHNOLOGY DEMONSTRATION MISSION SMART-2

机译：激光干涉仪空间天线技术演示任务SMART-2的无舵叶阻力多体控制模型

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摘要

The scope of the Laser Interferometer Space Antenna mission (LISA) Test-flight Package (LTP), to be flown on board the second Small Mission for Advanced Research in Technology (SMART-2), is to provide in-flight testing of the key technologies needed for the Laser Interferometer Space Antenna mission (LISA), an ESA-NASA mission planned for in-orbit gravitational waves detection. One of these critical technologies is the Test Masses Drag-Free and Attitude Control System (DFACS), which is the system that has to provide satellite position control up to the nanometer level with respect to the reference Test Masses (TM), in order to guarantee their free-falling condition. The design of the Drag-Free and Attitude Control System relies on the availability of a dynamic model of the system, composed by the LTP and the spacecraft. The approach followed is to split the system into the LTP and the spacecraft as two independent dynamical subsystems, interconnected by signals and exchanging forces and torques at their mechanical interface. The dynamics mathematical models of both subsystems are suitable to form "plant models" that are then exploited for the design of the DFACS. In the present paper, a description of the procedure, based on symbolic algebra multibody method, adopted for the automatic derivation of the LTP open-loop dynamics mathematical model, is given.
机译：激光干涉仪太空天线任务（LISA）试飞包（LTP）的范围，将在第二次高级技术研究小任务（SMART-2）上进行，以提供对关键部件的飞行中测试激光干涉仪太空天线任务（LISA）所需的技术，这是ESA-NASA计划用于在轨重力波探测的任务。这些关键技术之一是测试质量无阻力和姿态控制系统（DFACS），该系统必须相对于参考测试质量（TM）提供高达纳米级别的卫星位置控制，以便保证其自由下落的条件。无阻力和姿态控制系统的设计依赖于由LTP和航天器组成的系统动态模型的可用性。采取的方法是将系统分为两个独立的动态子系统，分别是LTP和航天器，通过信号相互连接，并在其机械接口处交换力和扭矩。两个子系统的动力学数学模型适合形成“工厂模型”，然后将其用于DFACS的设计。本文给出了基于符号代数多体法的LTP开环动力学数学模型的自动推导过程。

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