Offset scatter reduction of spinning rotor gauges by vibration isolation

Bock, Th.; Jousten, Karl

doi:10.1016/j.vacuum.2006.02.018

Cited by 1 publication

(1 citation statement)

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“…Active vibration isolation technology and passive vibration isolation technology are two main methods used to realize vibration isolation. Although a passive vibration isolation technique can provide sufficient attenuation of vibration disturbances in the high frequency range, it is not effective for isolating vibration with low and ultra-low frequencies [8,9]. Magnetostrictive actuators [10], electrodynamics actuators [11], and pneumatic actuators [12] have been successfully applied to the flexible trussed structure and the vehicle suspension system.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Control of a Six Degrees of Freedom Maglev Vibration Isolation System

Cui

Zhao

et al. 2019

Sensors

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The environment in space provides favorable conditions for space missions. However, low frequency vibration poses a great challenge to high sensitivity equipment, resulting in performance degradation of sensitive systems. Due to the ever-increasing requirements to protect sensitive payloads, there is a pressing need for micro-vibration suppression. This paper deals with the modeling and control of a maglev vibration isolation system. A high-precision nonlinear dynamic model with six degrees of freedom was derived, which contains the mathematical model of Lorentz actuators and umbilical cables. Regarding the system performance, a double closed-loop control strategy was proposed, and a sliding mode control algorithm was adopted to improve the vibration isolation performance. A simulation program of the system was developed in a MATLAB environment. A vibration isolation performance in the frequency range of 0.01–100 Hz and a tracking performance below 0.01 Hz were obtained. In order to verify the nonlinear dynamic model and the isolation performance, a principle prototype of the maglev isolation system equipped with accelerometers and position sensors was developed for the experiments. By comparing the simulation results and the experiment results, the nonlinear dynamic model of the maglev vibration isolation system was verified and the control strategy of the system was proved to be highly effective.

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