Detail publikace

THE TWO-MASS SYSTEM PARAMETER IDENTIFICATION WITH LEVENBERG-MARQUARDT ALGORITHM

Originální název

THE TWO-MASS SYSTEM PARAMETER IDENTIFICATION WITH LEVENBERG-MARQUARDT ALGORITHM

Anglický název

THE TWO-MASS SYSTEM PARAMETER IDENTIFICATION WITH LEVENBERG-MARQUARDT ALGORITHM

Jazyk

en

Originální abstrakt

This paper is focused on the parameter identification of the Two-Mass mechanical flexible system for motor drive applications. The whole methodology is based on the amplitude frequency characteristic given by the Welch spectrum analysis method. Then, an initial estimate of the plant parameters is extracted from the amplitude frequency characteristic and it is used as the starting point for the Levenberg-Marquardt algorithm to enhance the parameter estimation.

Anglický abstrakt

This paper is focused on the parameter identification of the Two-Mass mechanical flexible system for motor drive applications. The whole methodology is based on the amplitude frequency characteristic given by the Welch spectrum analysis method. Then, an initial estimate of the plant parameters is extracted from the amplitude frequency characteristic and it is used as the starting point for the Levenberg-Marquardt algorithm to enhance the parameter estimation.

Dokumenty

BibTex


@inproceedings{BUT164552,
  author="Ondřej {Bartík}",
  title="THE TWO-MASS SYSTEM PARAMETER IDENTIFICATION WITH LEVENBERG-MARQUARDT ALGORITHM",
  annote="This paper is focused on the parameter identification of the Two-Mass mechanical flexible
system for motor drive applications. The whole methodology is based on the amplitude frequency
characteristic given by the Welch spectrum analysis method. Then, an initial estimate of the plant
parameters is extracted from the amplitude frequency characteristic and it is used as the starting point
for the Levenberg-Marquardt algorithm to enhance the parameter estimation.",
  booktitle="Proceedings II of the 26th student EEICT 2020 selected papers",
  chapter="164552",
  howpublished="online",
  year="2020",
  month="april",
  pages="151--155",
  type="conference paper"
}