By Topic

Helicopter flight dynamics using linear and nonlinear analyses

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Taikang Ning ; Dept. of Eng., Trinity Coll., Hartford, CT, USA ; Wei, J.F. ; Rong-Huei Chen ; Chia-Wei Huang
more authors

This paper compares measures derived from linear power spectral analysis and nonlinear chaotic analysis of helicopter vibratory data obtained during different flight tests. In particular, the strange attractor behavior of the trajectory of reconstructed state vectors in phase space was examined and quantified using the correlation dimension, which provides a fractal dimension measure in regards to the number of active degrees of freedom of helicopter vibration. We have examined the helicopter vibratory data collected from a well tuned four-blade servo-flap rotor system conducting hover, low-speed, and cruising-speed forward flights. In this paper, we examined servo-flap mid-span bending and rotor blade flat-wise bending. The results have shown that during helicopter hover, vibratory data of servo-flap bending and rotor flat-wise bending are more random than chaotic. On the other hand, the complexity (fractal dimension) of vibratory data increase when the helicopter switched from the minimum forward speed flight to cruising-speed forward flight.

Published in:

Signal Processing (ICSP), 2010 IEEE 10th International Conference on

Date of Conference:

24-28 Oct. 2010