Fuzzy control system

Vibration isolation

Damper

Algorithm

Control (management)

Magnetorheological fluid

Engineering

Elastomer

Biology

Isolation (microbiology)

Materials science

Fast Fourier transform

Vibration control

Control engineering

Transmissibility (structural dynamics)

Vibration

Computer science

Acoustics

Classical mechanics

Magnetorheological elastomer

Controller (irrigation)

Physics

Fuzzy logic

Agronomy

Microbiology

Artificial intelligence

Composite material

Structural engineering

Acceleration

Control theory (sociology)

Journal of Sound and Vibration

This paper presents the design method of an adaptive fuzzy controller (AFC) for a magnetorheological elastomer (MRE) vibration isolation system with time-varying sinusoidal excitations. In the first place, Kelvin model of MRE isolator without application of driving current is obtained by acceleration sweep experiments on a shake table, which establishes a foundation for the design of adaptive law. Secondly, a semi-active AFC with factor adjustment mechanism is designed based on the transmissibility curves under zero magnetic application and semi-active fuzzy control theory, which is independent of the isolation system model and adaptive to time-varying excitations in amplitudes and frequencies without adopting complicated fast Fourier transformation (FFT) analyzer. Finally, acceleration responses of the system with AFC to time-varying sinusoidal excitations are evaluated by numerical simulation and physical experiments, which indicate that the AFC could maintain satisfying control effect in the presence of time-varying sinusoidal excitations in amplitudes and frequencies, and is also more optimal than conventional fuzzy controller (FC).

Adaptive fuzzy control of a magnetorheological elastomer vibration isolation system with time-varying sinusoidal excitations