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近年、指向安定度劣化の主要因として検討が盛んな機械的振動擾乱について、OICETS (Optical Inter-orbit Communications Engineering Test Satellite:きらり)に搭載したMVE (Micro Vibration Equipment)の軌道上加速度データ出力をもとに、軌道上で実際に発生した振動擾乱についての評価を行う。軌道上データから構造伝達特性を評価し、この結果と地上試験データから得られる構造伝達特性との比較を行うことで、地上試験の結果が軌道上でどの程度再現しているかを確認し、地上試験の有効性について、考察を行う。, The microvibration generated by some instruments on orbit is considered as a key factor of pointing stability deterioration. Therefore it is important that the influence of the microvibration is estimated before the launch. In this paper the results of the ground tests by using of OICETS (Optical Inter-orbit Communications Engineering Test Satellite: KIRARI) MTM (Mechanical Test Model) and the on orbit measured result by the accelerometer (MVE: Micro Vibration Equipment) installed in OICETS are described. By using these results and an assumption, the transfer characteristics from main disturbance sources to MVE installed in OICETS are calculated. We compare these structural transfer characteristics and confirm the reproducibility of the ground test on orbit and the effectiveness of the ground test., 資料番号: AA0063481054

An orbit maintenance system equipped with a robot is expected to rescue satellites enabling their life spans to be prolonged and suppressing the amount of space debris. We are studying a system that is capable of the assembly, capture, diagnosis and repair of small satellites in orbit. A ground model of the orbit maintenance vehicle, which is equipped with a pair of robot arms, has been developed for these studies. In this paper, we describe a ground experiment for capturing an uncontrollably rotating satellite using the robot. The capture experiments were performed in sensor-dased autonomous control mode. We demonstrated that the vehicle flies toward the satellite, which is rotating in a test facility simulating 3-dimensional space, by measuring the relative position and attitude through image processing of a target marker, and then captures the handrail of the satellite with a hand having an adaptive mechanism by means of predictive visual servo tracking of the robot arm.