2012 IEEE International Conference on Control Applications 2012
DOI: 10.1109/cca.2012.6402405
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Design of excitation signals for the closed loop identification of industrial robots

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Cited by 7 publications
(4 citation statements)
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“…In a next step, the transfer behavior from the input u = τ f to the output y = y f of the real running gear is compared to the MBS model in Figure 7. The particular curves are created using a chirp signal as input (Saupe and Knoblach, 2012) and each is showing a nearly constant transfer behavior for frequencies of up to 1 Hz. The green curve represents the running gear configuration without the redesign enhancements described in section 2.…”
Section: Resultsmentioning
confidence: 99%
“…In a next step, the transfer behavior from the input u = τ f to the output y = y f of the real running gear is compared to the MBS model in Figure 7. The particular curves are created using a chirp signal as input (Saupe and Knoblach, 2012) and each is showing a nearly constant transfer behavior for frequencies of up to 1 Hz. The green curve represents the running gear configuration without the redesign enhancements described in section 2.…”
Section: Resultsmentioning
confidence: 99%
“…This leads to orthogonal signals, which yields a well-conditioned U(ω k ) for the inversion in (5), see [9].…”
Section: B Experimental Estimation Of the Frfmentioning
confidence: 99%
“…Afterwards, it is low-pass filtered, sampled to about ten samples per period and a Hann window is applied before the is DFT calculated. Further details are explained in [9]. For unstable systems, a closed loop identification (see Figure 1) must be performed.…”
Section: B Experimental Estimation Of the Frfmentioning
confidence: 99%
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