IEEE Conference on Decision and Control and European Control Conference 2011
DOI: 10.1109/cdc.2011.6160393
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A one-step procedure for frequency response estimation based on a Switch-Mode Transfer Function Analyzer

Abstract: Frequency response analysis is a well established system identification method. In this paper, a simple and efficient method based on the classical Transfer Function Analyzer (TFA) technique is implemented for system identification. The novel algorithm has been called SwitchMode-TFA. The originality of the proposed approach consists of: i) using a chirp TFA test input instead of a pure sine function, ii) using a variable sampling period instead of the traditional fixed sampling period and iii) a simplified imp… Show more

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Cited by 6 publications
(7 citation statements)
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“…To determine experimentally the frequency response in (10), a robust procedure is needed to evaluate correctly, even in the presence of severe disturbances, the amplitude A y and phase ϕ y of the output signal y(t). Such a procedure is based on the transfer function analyzer-discrete Fourier transform (TFA-DFT) [29,30].…”
Section: A Robust Methods To Estimate the Process Frequency Responsementioning
confidence: 99%
See 2 more Smart Citations
“…To determine experimentally the frequency response in (10), a robust procedure is needed to evaluate correctly, even in the presence of severe disturbances, the amplitude A y and phase ϕ y of the output signal y(t). Such a procedure is based on the transfer function analyzer-discrete Fourier transform (TFA-DFT) [29,30].…”
Section: A Robust Methods To Estimate the Process Frequency Responsementioning
confidence: 99%
“…Consider the multiplication of the measured output y(t) by sine and cosine functions of the frequency of the system input ω and then integrated over the measurement period T m = k 2π ω , with k an integer value [29,30]. Then, the following results are obtained:…”
Section: A Robust Methods To Estimate the Process Frequency Responsementioning
confidence: 99%
See 1 more Smart Citation
“…Identification from logarithmically sampled data has been proposed in [37] and represents a good framework for developing the online identification algorithm.…”
Section: Challenges and Conclusionmentioning
confidence: 99%
“…Identification from logarithmically sampled data has been proposed in (De Keyser et al (2011)) and represents a good framework for developing the online identification algorithm.…”
Section: Challengesmentioning
confidence: 99%