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

Amin Rezaeizadeh, Silvia Mastellone

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.

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

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.
Paper Structure (4 sections, 15 equations, 6 figures)

This paper contains 4 sections, 15 equations, 6 figures.

Table of Contents

  1. Problem Statement
  2. Case study: Mechanical driveline torsional vibration
  3. Simulation Results
  4. Summary

Figures (6)

  • Figure 1: online estimation of multiple resonant modes in parallel instances.
  • Figure 2: Lumped mass-spring model of a driveline.
  • Figure 3: Motor speed and torque trajectories.
  • Figure 4: Spectrogram of the motor torque and speed signals. The red dots denote the estimate of the resonance frequency, $f_r$.
  • Figure 5: Estimate of the resonant frequency, $f_r$, and the damping factor, $\zeta$.
  • ...and 1 more figures