Filtered-error recursive least squares optimization for disturbance feedforward control in active vibration isolation
Abstract
This paper addresses the filtered-error recursive least squares (FeRLS) algorithm for disturbance feedforward control in active vibration isolation systems. The controller structure consists of a generalized finite-impulse response (FIR) filter to include a set of pre-determined poles and self-tuning zeros. In addition, residual noise shaping is included to add frequency weighting and improve robustness. Compared to existing filtered-error least...
Paper Details
Title
Filtered-error recursive least squares optimization for disturbance feedforward control in active vibration isolation
Published Date
Jan 1, 2019
Journal
Volume
52
Issue
15
Pages
448 - 453
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