Fast and Efficient Estimation of Resonant Modes: A Case Study of Mechanical Drivelines

TL;DR

This paper introduces an online algorithm that uses short-time Fourier transform and recursive least squares to efficiently identify resonant modes in linear systems, applicable to mechanical drivelines.

Contribution

It presents a novel real-time parameter estimation method for resonant modes using a combination of Fourier analysis and recursive least squares.

Findings

Accurately detects resonant frequencies and damping factors in real-time

Applicable to systems of arbitrary order

Improves efficiency over traditional batch methods

Abstract

This work presents the development of an online parameter estimation algorithm for the identification of resonating modes in a linear system of arbitrary order. The method employs a short-time Fourier transform of the input and output signals and uses a recursive least square (RLS) algorithm to detect resonant frequencies and damping factors of the resonant modes.