Filtered-error recursive least squares optimization for disturbance feedforward control in active vibration isolation
| Autor: | Wouter Hakvoort, MA Michiel Beijen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Recursive least squares filter
Imagination 0209 industrial biotechnology Recursive least squares media_common.quotation_subject 020208 electrical & electronic engineering Feed forward 02 engineering and technology Frequency weighting Least mean squares filter 020901 industrial engineering & automation Vibration isolation Active vibration isolation Control and Systems Engineering Robustness (computer science) Control theory Disturbance feedforward control 0202 electrical engineering electronic engineering information engineering Orthonormal basis Mathematics media_common |
| Zdroj: | IFAC-papersonline. 52(15):448-453 |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2019.11.716 |
| Popis: | 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 mean squares (FeLMS) algorithms, two major improvements are distinguished. First, faster convergence is obtained without the necessity of pre-whitening and an orthonormal basis. Second, the parameters are estimated without steady-state variance. These improvements are demonstrated using simulation studies, which show the potential of the algorithm in active vibration isolators. |
| Databáze: | OpenAIRE |
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