Abstract
This chapter focuses on both diagnosing and controlling the nonlinear dynamic responses of a fluttering plate excited by a high-velocity air flow. Six modes of the motion are considered for obtaining the numerical solutions of the system, and the modes are used to investigate the nonlinear dynamic responses of the fluttering. Due to the different characteristics of the diagnosing methods for nonlinear systems, Lyapunov Exponent method is employed to detect the system motion of each mode, while the Periodicity Ratio method is utilized to detect the behavior of entire system motion subjected to non-periodic excitations generated by the air flow. A newly developed control strategy, modified FSMC method, is applied to control the nonlinear oscillatory responses of the system. The approaches presented in this chapter have research and engineering application significances in the fields of aerodynamics, nonlinear dynamics, aircraft design, and design of space vehicles.
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References
Bolotin VV (1963) Nonconservative problems of the theory of elastic stability. Pergamon Press, New York
Kantorowich LV, Krylov VI (1964) Approximate methods of higher analysis. Interscience, New~York
Mikhlin, SG (1964) Variational methods in mathematical physics. MacMillan, New York
Dowell EH (1966) Nonlinear oscillations of a fluttering plate. AIAA J 4(7):1267–1275
Dowell EH (1967) Nonlinear oscillations of a fluttering plate II. AIAA J 5(10):1856–1862
Shiau LC, Lu LT (1992) Nonlinear flutter of two-dimensional simply supported symmetric composite laminated plates. J Aircraft 29(1):140–145
Reddy JN (1986) Applied functional analysis and variational methods in engineering. McGraw-Hill, New York
Ketter DJ (1967) Flutter of flat, rectangular, orthotropic panels. AIAA J 5(1):116–124
Garrick EI, Reed WH (1981) Historical development of aircraft flutter. J Aircraft 18(11):897–912
Sipcic SR (1990) The chaotic response of a fluttering panel: the influence of maneuvering. Nonlinear Dyn 1(3):243–264
Shubov MA (2006) Flutter phenomenon in aeroelasticity and its mathematical analysis. J Aerospace Eng 19(1):1–12
Dowell EH, Ventres CS (1970) Comparison of theory and experiment for nonlinear flutter of loaded plates. AIAA J 8(11):2022–2030
Li KL, Zhang JZ, Lei PF (2010) Simulation and nonlinear analysis of panel flutter with thermal effects in supersonic flow. In: Luo ACJ (ed) Dynamical systems. Springer, New York, pp 61–76
Librescu L, Marzocca P, Silva WA (2004) Linear/nonlinear supersonic panel flutter in a high-temperature field. J Aircraft 41(4):918–924
Schaeffer HG, Heard WL (1965) Flutter of a flat panel subjected to a nonlinear temperature distribution. AIAA J 3(10):1918–1923
Xue DY, Mei C (1993) Finite element nonlinear panel flutter with arbitrary temperatures in supersonic flow. AIAA J 31(1):154–162
Alligood KT, Sauer T, Yorke JA (1997) Chaos: an introduction to dynamical systems. Springer, New York, LLC
Devaney RL (2003) An introduction to chaotic dynamical systems. Westview Press
Gollub JP, Baker GL (1996) Chaotic dynamics. Cambridge University Press
Nayfeh AH, Mook DT (1989) Non-linear oscillation. Wiley, New York
Strogatz S (2000) Nonlinear dynamics and chaos. Perseus Publishing
Valsakumar MC, Satyanarayana SV, Sridhar V (1997) Signature of chaos in power spectrum. Pramana J Phys 48:69–85
Peitgen HO, Richter PH (1986) The beauty of fractals: images of complex dynamical systems. Springer
Peitgen HO, Saupe D (1988) The science of fractal images. Springer
Lauwerier H (1991) Fractals. Princeton University Press
Kumar A (2003) Chaos, fractals and self-organisation, new perspectives on complexity in nature. National Book Trust
Zaslavsky GM (2005) Hamiltonian chaos and fractional dynamics. Oxford University Press
Parks PC (1992) Lyapunov’s stability theory – 100 years on. IMA J Math Control Inf 9:275–303
Wolf A, Swift JB, Swinney HL, Vastano JA (1985) Determining Lyapunov Exponents from a time series. Phys D Nonlinear Phenom 16(3):285–317
Dai L, Singh MC (1997) Diagnosis of periodic and chaotic responses in vibratory systems. J Acoust Soc Am 102(6):3361–3371
Utkin VI (1992) Sliding modes in control and optimization. Springer, Berlin
Kuo CL, Shieh CS, Lin CH, Shih SP (2007) Design of fuzzy sliding-mode controllerfor chaos synchronization. Commun Comput Inf Sci 5:36–45
Yau HT, Kuo CL (2006) Fuzzy sliding mode control for a class of chaos synchronization with uncertainties. Int J Nonlinear Sci Numer Simul 7(3):333–338
Yau HT, Wang CC, Hsieh CT, Cho CC (2011) Nonlinear analysis and control of the uncertain micro-electromechanical system by using a fuzzy sliding mode control design. Comput Math Appl 61(8):1912–1916
Haghighi HH, Markazi AH (2010) Chaos prediction and control in MEMS resonators. Commun Nonlinear 15(10):3091–3099
Dai L, Sun L (2012) On the fuzzy sliding mode control of nonlinear motion in a laminated beam. JAND 1(13):287–307
Donea JA (1984) Taylor–Galerkin method for convective transport problems. Int J Numer Meth Eng 20(1):101–119
Dai L, Han L (2011) Analysing periodicity, nonlinearity and transitional characteristics of nonlinear dynamic systems with Periodicity Ratio (PR). Commun Nonlinear Sci Numer Simul 16(12):4731–4744
Dai L, Singh MC (1995) Periodicity ratio in diagnosing chaotic vibrations. In: 15th Canadian congress of applied mechanics, vol 1, pp 390–391
Dai L, Singh MC (1998) Periodic, Quasiperiodic and chaotic behavior of a driven froude pendulum. Nonlinear Mech 33(6):947–965
Rong H, Meng G, Wang X, Xu W, Fang T (2002) Invariant measures and Lyapunov-exponents for stochastic Mathieu system. Nonlinear Dyn 30:313–321
Shahverdian AY, Apkarian AV (2007) A difference characteristic for one-dimensional deterministic systems. Commun Nonlinear 12(3):233–242
Dai L, Wang G (2008) Implementation of periodicity ratio in analyzing nonlinear dynamic systems: a comparison with Lyapunov exponent. J Comput Nonlinear Dyn 3(011006):1–9
Guckenheimer J, Holmes P (1983) Nonlinear oscillations, dynamical systems, and bifurcations of vector fields. Springer, New York, LLC
Hosseini M, Fazelzadeh S (2010) Aerothermoelastic posting-critical and vibration analysis of temperature-dependent functionally graded panels. J Therm Stresses 33:1188–1212
Lakshmanan M, Rajasekar S (2003) Nonlinear dynamics: integrability, chaos, and patterns. Springer, New York
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Key Symbols
- \( D \)
-
Plate stiffness
- \( E \)
-
Modulus of elasticity
- \( h \)
-
Plate thickness
- \( K \)
-
Spring constant
- \( L \)
-
Panel length
- M
-
Mach number
- \( m \)
-
Mode number
- \( {N_x} \)
-
In-plane force
- \( N_x^{(a) } \)
-
Applied in-plane force
- \( p-{p_{\infty }} \)
-
Aerodynamic pressure
- \( \varDelta p \)
-
Static pressure differential across the panel
- \( P \)
-
\( {{{\varDelta p{l^4}}} \left/ {Dh } \right.} \)
- \( {R_x} \)
-
\( {{{N_x^{(a) }{L^2}}} \left/ {D} \right.} \)
- \( r \)
-
Mode number
- \( s \)
-
Mode number
- \( t \)
-
Time
- \( {U_{\infty }} \)
-
Flow velocity
- \( W \)
-
\( {w \left/ {h} \right.} \)
- \( w \)
-
Plate deflection
- \( \alpha \)
-
Spring stiffness parameter
- \( \beta \)
-
\( {{({M^2}-1)}^{{{1 \left/ {2} \right.}}}} \)
- \( \lambda \)
-
\( {{{2q{a^3}}} \left/ {{\beta D}} \right.} \)
- \( \mu \)
-
\( {{{\rho L}} \left/ {{{\rho_m}h}} \right.} \)
- \( \nu \)
-
Poisson’s ratio
- \( \rho \)
-
Air density
- \( {\rho_m} \)
-
Plate density
- \( \tau \)
-
\( t{{({D / {{{\rho_m}h{l^4}}} })}^{{{1 \left/ {2} \right.}}}} \)
- \( {a_{s1 }} \)
-
The displacement corresponding to the \( s\mathrm{th} \) mode
- \( {a_{s2 }} \)
-
The velocity corresponding to the \( s\mathrm{th} \) mode
- \( {x_{s1 }} \)
-
The displacement of the reference signal of the \( s\mathrm{th} \) mode
- \( {x_{s2 }} \)
-
The velocity of the reference signal corresponding to the \( s\mathrm{th} \) mode
- \( \mathrm{a} \)
-
The column vector of the velocity and acceleration of the \( s \) modes
- \( {f_s}\left( {\mathrm{a},\tau } \right) \)
-
The expression of the acceleration corresponding to the \( s\mathrm{th} \) modes
- \( {g_s}\left( {\mathrm{a},\tau } \right) \)
-
The expression of the reference signal acceleration of the \( s\mathrm{th} \) mode
- \( {d_s}\left( {\mathrm{a},\tau } \right) \)
-
The uncertain external disturbance corresponding to the \( s\mathrm{th} \) mode
- \( {u_s} \)
-
The control input corresponding to the \( s\mathrm{th} \) mode
- \( R \)
-
Real number
- \( ue{q_s} \)
-
The equivalent control input corresponding to the \( s\mathrm{th} \) mode
- \( {\eta_s} \)
-
A positive real number
- \( k{f_s} \)
-
The normalization factor of \( \mathrm{a} \) corresponding to the \( s\mathrm{th} \) mode
- \( n \)
-
The number of points in Poincare map
- \( NPP \)
-
The number of periodically overlapped points in Poincare map
- \( Q(.),P(.) \)
-
The step functions
- \( \gamma \)
-
The periodicity ratio
- \( {f_s}(\mathrm{a},\tau ) \)
-
The expression of the acceleration corresponding to the \( s\mathrm{th} \) modes
- \( J \)
-
The Jacobian matrix
- \( LE(\hat{\lambda}) \)
-
Lyapunov Exponents
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Dai, L., Han, L., Sun, L., Wang, X. (2014). Diagnosis and Control of Nonlinear Oscillations of a Fluttering Plate. In: Jazar, R., Dai, L. (eds) Nonlinear Approaches in Engineering Applications 2. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6877-6_3
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DOI: https://doi.org/10.1007/978-1-4614-6877-6_3
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