This brief paper proposes a dynamic data-driven method for stability monitoring of rotorcraft systems, where the underlying concept is built upon the principles of symbolic dynamics. The stability monitoring algorithm involves wavelet-packet-based preprocessing to remove spurious disturbances and to improve the signal-to-noise ratio (SNR) of the sensor time series. A quantified measure, called Instability Measure, is constructed from the processed time series data to obtain an estimate of the relative instability of the dynamic modes of interest on the rotorcraft system. The efficacy of the proposed method has been established with numerical simulations where correlations between the instability measure and the damping parameter(s) of selected dynamic mode(s) of the rotor blade are established.
Stability Monitoring of Rotorcraft Systems: A Dynamic Data-Driven Approach
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received March 6, 2013; final manuscript received November 5, 2013; published online January 8, 2014. Assoc. Editor: Jiong Tang.
- Views Icon Views
- Share Icon Share
- Cite Icon Cite
- Search Site
Sonti, S., Keller, E., Horn, J., and Ray, A. (January 8, 2014). "Stability Monitoring of Rotorcraft Systems: A Dynamic Data-Driven Approach." ASME. J. Dyn. Sys., Meas., Control. March 2014; 136(2): 024505. https://doi.org/10.1115/1.4025988
Download citation file:
- Ris (Zotero)
- Reference Manager