Frequency domain method for real-time detection of oscillations

Girish Chowdhary; Sriram Srinivasan; Eric N. Johnson

doi:10.2514/1.52110

Frequency domain method for real-time detection of oscillations

Girish Chowdhary, Sriram Srinivasan, Eric N. Johnson

Aerospace Engineering

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Because of the growing interest in real-time stability monitoring, there is a need for online methods that can detect off-nominal behavior in control systems.Therefore, we present a realtime frequency domain method for detecting oscillations in control systems. The method uses recursive Fourier transform for representing the measured time-domain signal in frequency domain. Oscillations are then detected by monitoring the norm of the Fourier coefficients over a time window of prespecified size across a range of frequencies that represent offnominal behavior for the plant. The method is computationally efficient and requires little memory, and hence suitable for online application. The feasibility of using this method for a real-time detection of oscillation is demonstrated on the Georgia Tech Twinstar Unmanned Aerial System.

Original language	English (US)
Pages (from-to)	42-52
Number of pages	11
Journal	Journal of Aerospace Computing, Information and Communication
Volume	8
Issue number	2
DOIs	https://doi.org/10.2514/1.52110
State	Published - Feb 2011

All Science Journal Classification (ASJC) codes

Aerospace Engineering
Computer Science Applications
Electrical and Electronic Engineering

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10.2514/1.52110

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abstract = "Because of the growing interest in real-time stability monitoring, there is a need for online methods that can detect off-nominal behavior in control systems.Therefore, we present a realtime frequency domain method for detecting oscillations in control systems. The method uses recursive Fourier transform for representing the measured time-domain signal in frequency domain. Oscillations are then detected by monitoring the norm of the Fourier coefficients over a time window of prespecified size across a range of frequencies that represent offnominal behavior for the plant. The method is computationally efficient and requires little memory, and hence suitable for online application. The feasibility of using this method for a real-time detection of oscillation is demonstrated on the Georgia Tech Twinstar Unmanned Aerial System.",

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AB - Because of the growing interest in real-time stability monitoring, there is a need for online methods that can detect off-nominal behavior in control systems.Therefore, we present a realtime frequency domain method for detecting oscillations in control systems. The method uses recursive Fourier transform for representing the measured time-domain signal in frequency domain. Oscillations are then detected by monitoring the norm of the Fourier coefficients over a time window of prespecified size across a range of frequencies that represent offnominal behavior for the plant. The method is computationally efficient and requires little memory, and hence suitable for online application. The feasibility of using this method for a real-time detection of oscillation is demonstrated on the Georgia Tech Twinstar Unmanned Aerial System.

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Frequency domain method for real-time detection of oscillations

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