Error analysis and calibration of micro-vibration test platform developed for advanced pointing instrument

Abstract

This paper builds a micro vibration test platform which is capable to obtain image shift data from an advanced pointing instrument with 1000 Hz sampling frequency and three seconds sampling time. According to the image shift error analysis, system measurement errors brought up by CCDs (Charge-Coupled Device) in form of pixel gray value skewing and those brought up by suspension apparatus locating in frequency band lower than 5 Hz, are able to be eliminated by gray value offset and high-pass filter algorithm respectively. Random measurement errors caused by electronic and mechanical noises are the main factors affecting the measurement accuracy; they obey normal distribution with standard deviation lower than 0.0116 and 0.0170 pixels respectively. The image shift measure accuracy of the test platform is calibrated better than 0.0618 pixels, which meets the demand of 0.08 pixels. The test platform is considered to work well on micro vibration impact assessment with ideal measurement accuracy.