Open AccessFramework for efficient dynamic analysis applied to a tubular generator for suspension applications
Author(s) -
Kleijer Matthijs,
Friedrich Léo A. J.,
Gysen Bart L. J.,
Lomonova Elena A.
Publication year - 2021
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/smt2.12026
Subject(s) - signal (programming language) , generator (circuit theory) , suspension (topology) , permanent magnet synchronous generator , computer science , vibration , energy (signal processing) , displacement (psychology) , wavelet transform , fourier transform , discrete fourier transform (general) , signal generator , acoustics , control theory (sociology) , wavelet , algorithm , electronic engineering , magnet , short time fourier transform , engineering , fourier analysis , mathematics , physics , power (physics) , electrical engineering , artificial intelligence , telecommunications , psychotherapist , mathematical analysis , psychology , control (management) , quantum mechanics , homotopy , programming language , statistics , pure mathematics , chip
This paper considers a slotless three‐phase tubular permanent magnet generator located in an automotive suspension system for the application of vibration energy harvesting. A two‐dimensional finite element method model of the harvester is produced and an experimental setup that contains the generator is constructed. Signal decomposition methods are applied to measured suspension displacement data and the resulting signal components are used as input for the model. Two approaches for signal decomposition are discussed, namely, the discrete Fourier transform and the continuous wavelet transform. The individual emf responses of the model are reconstructed to a single output, while a sideband prediction algorithm accounts for the non‐linearities in the system. The simulation results are compared with the reference measurements conducted on the setup to determine the accuracy of each of the signal decomposition methods.