2018
DOI: 10.1155/2018/2870896
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A Time‐Domain Active Vibration Control Algorithm for Helicopter Based on a Prior Error Channel Identification Strategy

Abstract: During the flight tests of Z-11 helicopter, the previous method for active vibration control of helicopter suffered from the problems of slow convergence speed and big residual vibration. In order to mitigate these problems, a new method was proposed on the basis of the previous one. Here, a new error channel modeling method is used, which is named the prior error channel identification strategy. And the active control process and the error channel identification process are simplified to improve performance o… Show more

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Cited by 2 publications
(1 citation statement)
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“…Based on linear and quasistatic assumptions, frequency-domain HHC can effectively reduce steady-state harmonic vibration [2,4]. However, due to the block processing characteristics of the discrete Fourier transform, the control output and sampling of uncontrolled response are unable to be synchronized, which contributes to slow updating speed and poor adaptability in face of rapid changes of disturbance amplitude, frequency, and system parameters [14,15]. The time-domain Fx-LMS shows good narrowband control effects and signal tracking ability without accurate system model, but the algorithm performance depends heavily on the correlation between reference signal and excitation [16].…”
Section: Introductionmentioning
confidence: 99%
“…Based on linear and quasistatic assumptions, frequency-domain HHC can effectively reduce steady-state harmonic vibration [2,4]. However, due to the block processing characteristics of the discrete Fourier transform, the control output and sampling of uncontrolled response are unable to be synchronized, which contributes to slow updating speed and poor adaptability in face of rapid changes of disturbance amplitude, frequency, and system parameters [14,15]. The time-domain Fx-LMS shows good narrowband control effects and signal tracking ability without accurate system model, but the algorithm performance depends heavily on the correlation between reference signal and excitation [16].…”
Section: Introductionmentioning
confidence: 99%