Stability of Nonlinear, Time-Dependent Rotorcraft Systems Using Lyapunov Characteristic Exponents

Aykut Tamer, Pierangelo Masarati

Research output: Contribution to journalArticlepeer-review

14 Citations (SciVal)

Abstract

This work discusses the use of Lyapunov characteristic exponents to generalize rotorcraft stability analysis. Stability analysis of linear time-invariant and time-periodic systems relies on the eigenanalysis of special state transition matrices, which require the simplification of the nonlinear, time-dependent equations that govern rotorcraft aeromechanics. Lyapunov characteristic exponents provide quantitative information on the stability of nonlinear, time-dependent but not necessarily periodic dynamic systems without requiring a special reference solution. Results are consistent with the eigensolution of linear time-invariant and Floquet–Lyapunov analysis of linear time-periodic systems. Thus, the proposed approach represents a natural generalization of conventional stability analysis. The discrete QR method is used to practically estimate Lyapunov characteristic exponents; its economy-size variant is considered to reduce the computational cost for large problems. The method is applied to rotorcraft-related problems; when possible, results are compared with usual methods for linear time-invariant and time-periodic problems
Original languageEnglish
Pages (from-to)1-12
JournalJournal of the American Helicopter Society
Volume61
Issue number2
DOIs
Publication statusPublished - 1 Apr 2016

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