Servo -Flap Rotor Design Parameters Identification via Spectral Analysis of Flight Data

Servo -flap rotor design parameters were studied using multichannel spectral analysis. Vibratory data collected from nine different locations , including servo -flap mid -span vertical bending, four parameters from the ro tating system, and four parameters from the fixed system were examined . Th is study analyz ed vibratory data from a well -tuned four -blade helicopter during high -speed forward and hover flights . Through spectral analysis , we were able to identify vibratory en ergy distributions at multiple harmonics of the fundamental rotating frequency at all nine locations. The power spectrum for the vertical bending measured at the mid -span of the servo -flap during high speed flight indicates the existence of the vibration e nergy concentrated around the first two harmonics. Higher order harmonics larger than 3/rev drop to about 1.45% of the energy observed at 1/rev . We also used the cross -spectrum to determine the linear relationships at different harmonics of the rotating fr equency between servo -flap vertical bending and rotating system and fixed system parameters. During high -speed flight, the phase of servo -flap vertical bending was found to be 80 ° ahead of blade vertical bending and 55 ° ahead of blade torsion at the freque ncy of 1/rev. Nomenclature

[1]  Fu-Shang Wei Developmental Flight Testing Of The Second Generation Composite Blades (CMRBII) , 1997 .

[2]  Fu-Shang Wei,et al.  Correlation and analysis for SH-2F 101 rotor , 1988 .

[3]  Chrysostomos L. Nikias,et al.  Power spectrum estimation with randomly spaced correlation samples , 1990, IEEE Trans. Acoust. Speech Signal Process..

[4]  Fu-Shang Wei,et al.  ADVANCED SERVO FLAP ROTOR USING VARIABLE BLADE INDEX ANGLE CONTROL , 1997 .

[5]  Fu-Shang Wei,et al.  Multichannel coherence analysis of helicopter vibrations , 2002, 6th International Conference on Signal Processing, 2002..

[6]  Ying-Shieh Kung,et al.  Detection of distributed gear faults with a new bispectral analysis , 1996, Proceedings of the 1996 IEEE IECON. 22nd International Conference on Industrial Electronics, Control, and Instrumentation.

[7]  A. Z. Lemnios,et al.  Wind Tunnel Investigation of the Controllable Twist Rotor Performance and Dynamic Behavior , 1977 .

[8]  T. Ning,et al.  Chaotic Behavior of Helicopter Servo-Flap Vibratory Data during Different Flight Conditions , 2008, 2008 Congress on Image and Signal Processing.

[9]  Chrysostomos L. Nikias,et al.  Multichannel AR spectrum estimation: The optimum approach in the reflection coefficient domain , 1986, IEEE Trans. Acoust. Speech Signal Process..

[10]  A. Z. Lemnios,et al.  An Analytical Evaluation of the Controllable Twist Rotor Performance and Dynamic Behavior , 1972 .

[11]  Fu-Shang Wei Active trailing edge tab control for helicopter rotor vibration reduction , 1996 .

[12]  Fu-Shang Wei,et al.  Multichannel Spectral and Coherence Analysis of Servoflap Main Rotor Blade , 2009 .

[13]  M. Morf,et al.  Spectral Estimation , 2006 .

[14]  Fu-Shang Wei,et al.  Flight Testing Kaman Aerospace Corporation's Composite Main Rotor Blade , 2000 .