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Adaptive Control for Attenuating Vibrations using Nonuniform Sampling

Josu Jugo, Iñigo Arredondo
Different adaptive control algorithms have been developed for attenuating vibrations on systems such as electromechanical devices. In this work it is introduced the use of nonuniform sampling methods reducing the mean sampling rate, with the aim of minimizing the execution time of such algorithms. In particular, the proposed algorithm is a feedforward adaptive vibration controller which generates sinusoidal signals whose amplitudes and phases are updated by the adaptation algorithm at randomized sampling times. Such signals are applied at the system obtaining a minimization of the vibrations. Simulation results show the effectiveness of the adaptive control approach, allowing an important increment in the mean sampling period.
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