Self-tuning MIMO disturbance feedforward control for active hard-mounted vibration isolators

M.A. Beijen (Corresponding Author), M.F. Heertjes, J. van Dijk, W.B.J. Hakvoort

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    31 Citations (Scopus)
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    This paper proposes a multi-input multi-output (MIMO) disturbance feedforward controller to improve the rejection of floor vibrations in active vibration isolation systems for high-precision machinery. To minimize loss of performance due to model uncertainties, the feedforward controller is implemented as a self-tuning generalized FIR filter. This filter contains a priori knowledge of the poles, such that relatively few parameters have to be estimated which makes the algorithm computationally efficient. The zeros of the filter are estimated using the filtered-error least mean squares (FeLMS) algorithm. Residual noise shaping is used to reduce bias. Conditions on convergence speed, stability, bias, and the effects of sensor noise on the self-tuning algorithm are discussed in detail. The combined control strategy is validated on a 6-DOF Stewart platform, which serves as a multi-axis and hard-mounted vibration isolation system, and shows significant improvement in the rejection of floor vibrations.

    Original languageEnglish
    Pages (from-to)90-103
    Number of pages14
    JournalControl engineering practice
    Publication statusPublished - 1 Mar 2018


    • Active vibration isolation
    • High-precision mechatronics
    • Least mean squares optimization
    • MIMO feedforward control


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