Recursive Spectral Analysis-based Diagnostic with Application to Electrohydraulic Actuators

Yongsoon Yoon, Zongxuan Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper presents the diagnostic of electrohydraulic actuators. Different types of faults common in practice are considered such as a pump fault, abnormal viscous friction, oil contamination, and internal or external oil leakage. The entire diagnostic consists of two components: 1) reference tracking control; 2) recursive harmonic analysis. Firstly, the robust repetitive control is used such that the actuator position follows the harmonic reference signal. Secondly, the Fourier transforms of the control input at multiple harmonics are calculated recursively from sliding discrete Fourier transform. Instead of the raw control input, the modulated input signal is employed for better efficiency and robustness. The diagnostic decision is made based on distribution of the Fourier transforms. The effectiveness of the proposed method is demonstrated with numerical simulations. Diagnostic performance with different sizes of the sliding window is analyzed in terms of separation metrics, as a critical design parameter.

Original languageEnglish (US)
Title of host publication2021 American Control Conference, ACC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781665441971
StatePublished - May 25 2021
Externally publishedYes
Event2021 American Control Conference, ACC 2021 - Virtual, New Orleans, United States
Duration: May 25 2021May 28 2021

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Conference2021 American Control Conference, ACC 2021
Country/TerritoryUnited States
CityVirtual, New Orleans

Bibliographical note

Publisher Copyright:
© 2021 American Automatic Control Council.


Dive into the research topics of 'Recursive Spectral Analysis-based Diagnostic with Application to Electrohydraulic Actuators'. Together they form a unique fingerprint.

Cite this