Fuzzy control of MRE-based precision measurement platform under random vibration

To suppress vibrations on a precision measurement platform challenged by random vibration, a semi-active fuzzy control method utilizing magnetorheological elastomer (MRE) vibration isolator is proposed in this article. Firstly, based on stochastic process theory, Adams software is employed to establish an accurate model and analyze the random vibration response of the isolation platform. Secondly, based on the relative speed and displacement signal feedback, a robust fuzzy control algorithm which is independent of the system model is designed to suppress multiple spectral peaks. Finally, the results of Adams and Simulink co-simulation and semi-physical experiment based on dSPACE show that the designed fuzzy controller can effectively suppress the wide-frequency random vibrations of 15–2000 Hz. Compared with the passive system, the acceleration RMS, displacement RMS and peak acceleration power spectral density of the system are attenuated by 5.56%, 34.86%, and 48.42%, respectively. Especially, the two response peaks in the acceleration power spectral density attenuated by 48.42% and 73.74% compared with the natural resonance peak of the passive system and the excitation peak respectively, indicating the effectiveness of the designed control algorithm for vibration reduction of complex excitation spectrum.