2018
DOI: 10.1007/s42064-018-0028-7
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Control performance simulation and tests for Microgravity Active vibration Isolation System onboard the Tianzhou-1 cargo spacecraft

Abstract: The Microgravity Active vibration Isolation System (MAIS), which was onboard China's first cargo-spacecraft Tianzhou-1 launched on April 20, 2017, aims to provide high-level microgravity at an order of 10 −5 -10 −6 g for specific scientific experiments. MAIS is mainly composed of a stator and a floater, and payloads are mounted on the floater. Sensing relative motion with respect to the stator fixed on the spacecraft, the floater is isolated from vibration on the stator via control forces and torques generated… Show more

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Cited by 18 publications
(3 citation statements)
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“…It also shows that u is the control signal of the system, k and c stand for the system's stiffness and damping, respectively. Similar to [20,35], the proposed nonlinear active vibration isolation system can be…”
Section: Dynamic Modelingmentioning
confidence: 99%
“…It also shows that u is the control signal of the system, k and c stand for the system's stiffness and damping, respectively. Similar to [20,35], the proposed nonlinear active vibration isolation system can be…”
Section: Dynamic Modelingmentioning
confidence: 99%
“…Four two-dimensional (2D) position sensitive devices (2D-PSDs) and eight one-dimensional (1D) electromagnetic actuators are configured between the stator and floater. In addition, electromagnetic levitation control is obtained by mounting three 2-axis accelerometers on the floater and one 3-axis accelerometer on the stator, as described in a previous report 10 . Details regarding the measurement sensors and actuators employed in the control system are listed in Table 2, where the response frequency of the sensors refers to their measurement frequency, while that of actuators refers to their output frequency.…”
Section: Hardware Architecturementioning
confidence: 99%
“…Simulation and test results verify the accuracy of the control strategy design, effectiveness of the control algorithms, and performance of the entire control system. The details of these simulation and tests could be found in an earlier paper (Liu et al 2018).…”
mentioning
confidence: 99%