Mass imbalance compensation of rotor with adaptive finite-impulse-response filter and convergent control

Kari Tammi

    Research output: Book/ReportReport

    Abstract

    This work introduces two principles to compensate a deterministic excitation from a system: adaptive finite impulse-response-filter and convergent control. Both principles work as adaptive feedforward compensation algorithms by feeding a compensation signal into the system. The compensation signal is generated from a reference signal that is correlated with the excitation to be compensated. The difference between the principles is the algorithm to derive the compensation signal from the reference signal. These algorithms are reported in the work. The methods were compared with simulations by compensating a sinusoidal disturbance in a simple plant. The convergent control algorithm indicated smoother but slower convergence than the adaptive finite impulse-response-filter with least-mean-square algorithm. The convergent control was also tested in the rotor test environment. The displacement responses of the test rotor were measured when the convergent control was switched on. The measurements were carried out when the rotor was running 25 Hz, 40 Hz, and 65 Hz. The control force commands were also recorded at these speeds. The displacement response was also measured during a sweep from 11 Hz to 65 Hz. The convergent control was found working properly; the convergence of the algorithm was particularly fast. The performance of the algorithm may be improved by improving the quality of the compensation signal. The forces used for control were low: from 1 N to 3 N. The parameter update seemed to have an effect on response; the response was slightly amplified at the update frequency.
    Original languageEnglish
    PublisherVTT Technical Research Centre of Finland
    Number of pages24
    Publication statusPublished - 2003
    MoE publication typeD4 Published development or research report or study

    Publication series

    SeriesVTT Tuotteet ja tuotanto. Tutkimusraportti
    NumberBTUO57-031122

    Fingerprint

    FIR filters
    Adaptive filters
    Rotors
    Force control
    Compensation and Redress

    Keywords

    • vibration
    • active vibration control
    • rotors
    • imbalance
    • adaptive filter
    • FIR
    • convergent control

    Cite this

    Tammi, K. (2003). Mass imbalance compensation of rotor with adaptive finite-impulse-response filter and convergent control. VTT Technical Research Centre of Finland. VTT Tuotteet ja tuotanto. Tutkimusraportti, No. BTUO57-031122
    Tammi, Kari. / Mass imbalance compensation of rotor with adaptive finite-impulse-response filter and convergent control. VTT Technical Research Centre of Finland, 2003. 24 p. (VTT Tuotteet ja tuotanto. Tutkimusraportti; No. BTUO57-031122).
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    abstract = "This work introduces two principles to compensate a deterministic excitation from a system: adaptive finite impulse-response-filter and convergent control. Both principles work as adaptive feedforward compensation algorithms by feeding a compensation signal into the system. The compensation signal is generated from a reference signal that is correlated with the excitation to be compensated. The difference between the principles is the algorithm to derive the compensation signal from the reference signal. These algorithms are reported in the work. The methods were compared with simulations by compensating a sinusoidal disturbance in a simple plant. The convergent control algorithm indicated smoother but slower convergence than the adaptive finite impulse-response-filter with least-mean-square algorithm. The convergent control was also tested in the rotor test environment. The displacement responses of the test rotor were measured when the convergent control was switched on. The measurements were carried out when the rotor was running 25 Hz, 40 Hz, and 65 Hz. The control force commands were also recorded at these speeds. The displacement response was also measured during a sweep from 11 Hz to 65 Hz. The convergent control was found working properly; the convergence of the algorithm was particularly fast. The performance of the algorithm may be improved by improving the quality of the compensation signal. The forces used for control were low: from 1 N to 3 N. The parameter update seemed to have an effect on response; the response was slightly amplified at the update frequency.",
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    Tammi, K 2003, Mass imbalance compensation of rotor with adaptive finite-impulse-response filter and convergent control. VTT Tuotteet ja tuotanto. Tutkimusraportti, no. BTUO57-031122, VTT Technical Research Centre of Finland.

    Mass imbalance compensation of rotor with adaptive finite-impulse-response filter and convergent control. / Tammi, Kari.

    VTT Technical Research Centre of Finland, 2003. 24 p. (VTT Tuotteet ja tuotanto. Tutkimusraportti; No. BTUO57-031122).

    Research output: Book/ReportReport

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    N2 - This work introduces two principles to compensate a deterministic excitation from a system: adaptive finite impulse-response-filter and convergent control. Both principles work as adaptive feedforward compensation algorithms by feeding a compensation signal into the system. The compensation signal is generated from a reference signal that is correlated with the excitation to be compensated. The difference between the principles is the algorithm to derive the compensation signal from the reference signal. These algorithms are reported in the work. The methods were compared with simulations by compensating a sinusoidal disturbance in a simple plant. The convergent control algorithm indicated smoother but slower convergence than the adaptive finite impulse-response-filter with least-mean-square algorithm. The convergent control was also tested in the rotor test environment. The displacement responses of the test rotor were measured when the convergent control was switched on. The measurements were carried out when the rotor was running 25 Hz, 40 Hz, and 65 Hz. The control force commands were also recorded at these speeds. The displacement response was also measured during a sweep from 11 Hz to 65 Hz. The convergent control was found working properly; the convergence of the algorithm was particularly fast. The performance of the algorithm may be improved by improving the quality of the compensation signal. The forces used for control were low: from 1 N to 3 N. The parameter update seemed to have an effect on response; the response was slightly amplified at the update frequency.

    AB - This work introduces two principles to compensate a deterministic excitation from a system: adaptive finite impulse-response-filter and convergent control. Both principles work as adaptive feedforward compensation algorithms by feeding a compensation signal into the system. The compensation signal is generated from a reference signal that is correlated with the excitation to be compensated. The difference between the principles is the algorithm to derive the compensation signal from the reference signal. These algorithms are reported in the work. The methods were compared with simulations by compensating a sinusoidal disturbance in a simple plant. The convergent control algorithm indicated smoother but slower convergence than the adaptive finite impulse-response-filter with least-mean-square algorithm. The convergent control was also tested in the rotor test environment. The displacement responses of the test rotor were measured when the convergent control was switched on. The measurements were carried out when the rotor was running 25 Hz, 40 Hz, and 65 Hz. The control force commands were also recorded at these speeds. The displacement response was also measured during a sweep from 11 Hz to 65 Hz. The convergent control was found working properly; the convergence of the algorithm was particularly fast. The performance of the algorithm may be improved by improving the quality of the compensation signal. The forces used for control were low: from 1 N to 3 N. The parameter update seemed to have an effect on response; the response was slightly amplified at the update frequency.

    KW - vibration

    KW - active vibration control

    KW - rotors

    KW - imbalance

    KW - adaptive filter

    KW - FIR

    KW - convergent control

    M3 - Report

    T3 - VTT Tuotteet ja tuotanto. Tutkimusraportti

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    Tammi K. Mass imbalance compensation of rotor with adaptive finite-impulse-response filter and convergent control. VTT Technical Research Centre of Finland, 2003. 24 p. (VTT Tuotteet ja tuotanto. Tutkimusraportti; No. BTUO57-031122).