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Almost all mechanical systems are in one way or another susceptible to resonant behaviour. This resonant behaviour should be accurately characterised to prevent unwanted mechanical oscillations which could in turn lead to mechanical failure. It is therefore of utmost importance to accurately characterise these mechanical resonances. In the past, advanced local rational modelling techniques have been introduced which effectively estimate the non-parametric Frequency Response Function (FRF) for Multiple-Input, Multiple-Output (MIMO) systems. Unfortunately, most of these existing techniques derive the local rational model parameters using a biased estimator. We developed a local rational modelling technique which removes the bias from the estimation procedure and is also applicable to MIMO systems. At its core, this technique uses the Bootstrapped Total Least Squares (BTLS) estimator, which not only provides a consistent estimate of the common-denominator rational model, but also allows us to generate accurate uncertainty bounds on the FRF matrix. The performance of the proposed technique was verified by characterising the resonant behaviour of the tailplane of a glider.
|Publication status||Published - 24 Sep 2018|
|Event||2018 ERNSI Workshop on System Identification - Cambridge, United Kingdom|
Duration: 23 Sep 2018 → 26 Sep 2018
|Workshop||2018 ERNSI Workshop on System Identification|
|Period||23/09/18 → 26/09/18|
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