Paper
7 May 2010 Zero-G experimental validation of a robotics-based inertia identification algorithm
Jeremy J. Bruggemann, Ivann Ferrel, Gerardo Martinez, Pu Xie, Ou Ma
Author Affiliations +
Abstract
The need to efficiently identify the changing inertial properties of on-orbit spacecraft is becoming more critical as satellite on-orbit services, such as refueling and repairing, become increasingly aggressive and complex. This need stems from the fact that a spacecraft's control system relies on the knowledge of the spacecraft's inertia parameters. However, the inertia parameters may change during flight for reasons such as fuel usage, payload deployment or retrieval, and docking/capturing operations. New Mexico State University's Dynamics, Controls, and Robotics Research Group has proposed a robotics-based method of identifying unknown spacecraft inertia properties1. Previous methods require firing known thrusts then measuring the thrust, and the velocity and acceleration changes. The new method utilizes the concept of momentum conservation, while employing a robotic device powered by renewable energy to excite the state of the satellite. Thus, it requires no fuel usage or force and acceleration measurements. The method has been well studied in theory and demonstrated by simulation. However its experimental validation is challenging because a 6- degree-of-freedom motion in a zero-gravity condition is required. This paper presents an on-going effort to test the inertia identification method onboard the NASA zero-G aircraft. The design and capability of the test unit will be discussed in addition to the flight data. This paper also introduces the design and development of an airbearing based test used to partially validate the method, in addition to the approach used to obtain reference value for the test system's inertia parameters that can be used for comparison with the algorithm results.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeremy J. Bruggemann, Ivann Ferrel, Gerardo Martinez, Pu Xie, and Ou Ma "Zero-G experimental validation of a robotics-based inertia identification algorithm", Proc. SPIE 7691, Space Missions and Technologies, 769105 (7 May 2010); https://doi.org/10.1117/12.849772
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Robotics

Satellites

Sensors

Space operations

Calibration

Control systems

Velocity measurements

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