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Multilevel microvibration test for performance predictions of a space optical load platform
Shiqi Li1, Heng Zhang1, Shiping Liu1
1School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
The Review of Scientific Instruments
|June 6, 2018
Summary
This study introduces a multilevel microvibration analysis framework for space optical platforms. Results show disturbance source position significantly impacts performance, with vibrations reduced by mechanical links.
Area of Science:
- Spacecraft Engineering
- Optical Systems
- Vibration Analysis
Background:
- Space optical platforms require stringent vibration control.
- Microvibrations can degrade optical performance in high-resolution imaging systems.
- Existing analysis methods may not fully capture multilevel vibration propagation.
Purpose of the Study:
- To develop and validate a multilevel framework for microvibration analysis and testing of space optical load platforms.
- To investigate the vibration mechanisms and transfer characteristics from disturbance sources to optical outputs.
- To assess the impact of disturbance source location on overall spacecraft performance.
Main Methods:
- A three-level test framework: instrument, subsystem, and system levels.
- Experimental investigation of disturbance sources to determine vibration amplitude and mechanisms.
- Subsystem testing to validate transfer functions from disturbance sources to optical performance.
- System-level microvibration measurement and analysis (time and spectrum domain).
Main Results:
- Disturbance source position critically influences its effect on spacecraft performance.
- Mechanical links effectively reduce residual vibrations to background noise levels.
- Angular microvibration (platform jitter) is predominantly concentrated in y-axis rotation.
Conclusions:
- The developed multilevel framework provides a comprehensive approach to microvibration analysis for space optical platforms.
- Understanding vibration transfer characteristics is crucial for mitigating performance degradation.
- The findings are directly applicable to real-world systems like high-resolution satellite cameras.
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