Kurtosis Regulating Vibration Controller Apparatus and Method

• US 20100305886A1
• Filed: 05/28/2010
• Published: 12/02/2010
• Est. Priority Date: 06/01/2009
• Status: Abandoned Application

• Current Assignee: Brüel & Kjær Sound & Vibration Measurement A/S (Spectris PLC)
• Original Assignee: Brüel & Kjær Sound & Vibration Measurement A/S (Spectris PLC)
• Inventors: Zhuge, James
• Application Number:
  US12/789,702
• Publication Number:
  US 20100305886A1
• Time in Patent Office: Days
• US Class Current: 702/56
• CPC Class Codes: G01M 7/022 Vibration control arrangements, e.g. for generating random vibrations
• CPC Class Codes: G05B 19/19 characterised by positioning or contouring control systems, e.g. to control position from one programmed point to another or to control movement along a programmed continuous path
• CPC Class Codes: G05B 2219/49281 X y table positioned by vibration

Abstract

A vibration control system provides a user-specified value of kurtosis as well as user control over a baseline random spectral density profile. The baseline random spectral density profile and a signal that embeds the desired value of kurtosis are summed in the frequency domain prior to forming a time-domain output waveform that drives a vibration table with attached unit under test. Feedback from a sense transducer attached to the vibration table or the unit under test measures the as-realized vibration'"'"'s random spectral density and kurtosis value, which are then compared to the desired values to allow correction.

Claims

1. A controlled-kurtosis vibration controller which provides an excitation random signal to an actuator in response to an input from a motion transducer, the controlled-kurtosis vibration controller comprising:

a Gaussian spectrum generator which generates a frequency-domain Gaussian distributed random spectrum;

a non-Gaussian spectrum generator which generates a frequency-domain non-Gaussian distributed random spectrum, wherein the non-Gaussian spectrum generator receives an input signal based on the input from the motion transducer, generates a scalar kurtosis estimate from the input signal, compares the scalar kurtosis estimate to a target value, uses a result of the comparison to generate a time-domain envelope with attributes including amplitudes-of-transients and numbers-of-transients, uses the time-domain envelope to modulate a time-domain random signal, and transforms the modulated time-domain random signal into a frequency-domain non-Gaussian distributed random spectrum;

an inverse transfer function generator which modulates the respective spectra from the Gaussian and non-Gaussian spectrum generators, wherein the inverse transfer function generator receives the input signal and frequency-domain transforms the input signal into an input spectrum, the inverse transfer function generator receives a vibration controller output drive signal and frequency-domain transforms the vibration controller output drive signal into an output drive spectrum, the input spectrum and the output drive spectrum are processed to produce an estimate of cross power spectrum density, the output drive spectrum is processed to produce an estimate of drive auto power spectrum density, the estimate of cross power spectrum density and the estimate of drive auto power spectrum density are respectively averaged, and the respective averages are divided to generate a frequency-domain inverse transfer function; and

a synthesizer which generates the vibration controller output drive signal, wherein the Gaussian and non-Gaussian spectra are respectively multiplied by the frequency-domain inverse transfer function, and the respective multiplier outputs are summed and transformed into the vibration controller output drive signal, which is fed back to the actuator as the excitation random signal.

2. The controlled-kurtosis vibration controller of claim 1, wherein

the motion transducer is mounted to a movable portion,

a unit under test is disposed on the movable portion, and

the motion transducer generates the input signal based on movement of the unit under test along at least one test axis.

3. The controlled-kurtosis vibration controller of claim 1, wherein the inverse transfer function generator comprises:

a generator which receives the input signal and generates the input spectrum;

a generator which receives the vibration controller output drive signal and generates the output drive spectrum;

a cross power random spectrum estimator which receives the input spectrum and the output drive spectrum and generates the estimate of cross power spectrum density; and

an averaging function for successive estimates of cross power spectrum density.

4. The controlled-kurtosis vibration controller of claim 3, wherein the inverse transfer function generator further comprises:

a drive auto-power random spectrum estimator, which receives the output drive spectrum and generates the estimate of drive auto-power spectrum density;

an averaging function for successive estimates of cross power spectrum density; and

a divider which receives averaged estimates of cross power spectrum density and drive auto-power spectrum density and computes successive ratios thereof.

5. The controlled-kurtosis vibration controller of claim 1, wherein the Gaussian spectrum generator comprises a phase randomizer.

6. The controlled-kurtosis vibration controller of claim 1, wherein the non-Gaussian spectrum generator comprises:

a generator which generates the time-domain random signal;

a generator which generates the time-domain envelope, wherein an instantaneous envelope amplitude of the generator output is proportional to a deviation between the scalar kurtosis estimate and a target kurtosis value; and

a generator which generates the non-Gaussian spectrum, wherein the reference random signal, windowed by the time-domain envelope, is transformed from the time domain to the frequency domain.

7. The controlled-kurtosis vibration controller of claim 1, further comprising:

a summer which sums the Gaussian random spectrum and the non-Gaussian random spectrum, the Gaussian random spectrum being a product of the frequency-domain inverse transfer function and the frequency-domain Gaussian distributed random spectrum, and the non-Gaussian spectrum being a product of the frequency-domain inverse transfer function and the frequency-domain non-Gaussian distributed random spectrum; and

an output digital-to-analog converter which outputs a time-domain analog excitation signal.

8. The controlled-kurtosis vibration controller of claim 1, further comprising an input signal buffer circuit connected to the motion transducer.

9. The controlled-kurtosis vibration controller of claim 1, further comprising at least one phase randomizer which outputs one of a frequency-domain random signal and a time-domain random signal.

10. The controlled-kurtosis vibration controller of claim 1, further comprising a driver circuit connected to the actuator.

11. A vibration test system comprising:

a vibration table;

a unit under test disposed on the vibration table;

a transducer operably connected to the unit under test; and

a controlled-kurtosis controller, wherein the controlled-kurtosis controller comprises;

a Gaussian spectrum generator which generates a frequency-domain Gaussian distributed random spectrum;

a non-Gaussian spectrum generator which generates a frequency-domain non-Gaussian distributed random spectrum, wherein the non-Gaussian spectrum generator receives an input signal based on an input from the transducer, generates a scalar kurtosis estimate from an input signal from the transducer, compares the scalar kurtosis estimate to a target value, uses a result of the comparison to generate a time-domain envelope with attributes including amplitudes-of-transients and numbers-of-transients, uses the time-domain envelope to modulate a time-domain random signal, and transforms the modulated time-domain random signal into a frequency-domain non-Gaussian distributed random spectrum;

an inverse transfer function generator which modulates the respective spectra from the Gaussian and non-Gaussian spectrum generators, wherein the inverse transfer function generator receives the input signal and frequency-domain transforms the input signal into an input spectrum, the inverse transfer function generator receives a vibration controller output drive signal and frequency-domain transforms the vibration controller output drive signal into an output drive spectrum, the input spectrum and the output drive spectrum are processed to produce an estimate of cross power spectrum density, the output drive spectrum is processed to produce an estimate of drive auto power spectrum density, the estimate of cross power spectrum density and the estimate of drive auto power spectrum density are respectively averaged, and the respective averages are divided to generate a frequency-domain inverse transfer function; and

a synthesizer which generates the vibration controller output drive signal, wherein the Gaussian and non-Gaussian spectra are respectively multiplied by the frequency-domain inverse transfer function, and the respective multiplier outputs are summed and transformed into the vibration controller output drive signal, which is fed back to the vibration table as the excitation random signal.

12. The vibration test system of claim 11, further comprising a movable portion which vibrates the unit under test along at least one test axis based on the excitation random signal.

13. The vibration test system of claim 11, further comprising a driver actuator which vibrates the unit under test such that the input has a desired kurtosis value based on the excitation random signal fed back to the driver actuator from the controlled-kurtosis controller.

14. A method of providing an excitation random signal to an actuator in response to an input from a motion transducer, the method comprising:

generating successive frequency-domain Gaussian distributed random spectra;

generating successive frequency-domain non-Gaussian distributed random spectra, wherein generating successive frequency-domain non-Gaussian distributed random spectra comprises;

receiving successive windowed input signals based on input from the motion transducer;

generating successive scalar kurtosis estimates from the windowed input signals;

comparing successive scalar kurtosis estimates to a target value;

using results of the comparisons to generate successive time-domain envelopes with attributes including amplitudes-of-transients and numbers-of-transients;

using the successive time-domain envelopes to modulate a time-domain random signal; and

transforming the successive modulated time-domain random signals into

frequency-domain non-Gaussian distributed random spectra;

modulating the respective Gaussian and non-Gaussian spectra, wherein modulating the respective Gaussian and non-Gaussian spectra comprises;

receiving successive windowed input signals and frequency-domain transforming the input signals into successive input spectra;

receiving successive windowed vibration controller output drive signals and frequency-domain transforming the successive windowed vibration controller output drive signals into output drive spectra;

processing the successive windowed input spectra and output drive spectra to produce successive estimates of cross power spectrum density;

processing the output drive spectra to produce estimates of drive auto power spectrum density;

averaging successive estimates of cross power spectrum density;

averaging successive estimates of drive auto power spectrum density; and

dividing the respective averages to generate successive frequency-domain inverse transfer functions; and

generating the vibration controller output drive signal, wherein successive Gaussian and non-Gaussian spectra are respectively multiplied by successive frequency-domain inverse transfer functions, and the respective multiplier outputs are summed and transformed into successive vibration controller output drive signals, which are fed back to the actuator as the excitation random signal.