Abstract:Linear and nonlinear aeroelastic response is examined using a unique test apparatus that allows for experiments of plunge and pitch motion of a wing with prescribed stiffness characteristics. The addition of a control surface, combined with an active control system, extends the stable ight region. Unsteady aerodynamics are modeled with an approximation to Theodorsen's theory appropriate for the low reduced frequencies associated with the experiment. Incorporated with a full-state feedback control law, an optim… Show more
“…This model has proven to be adequate for low reduced frequency, subsonic flow, as validated by the experiments. 7,8,15 The wing section modeled by these equations of motion has been built for experiments on the nonlinear aeroelastic test apparatus (NATA) 16 in the 2 × 3 ft low-speed wind tunnel. A unique feature of NATA is the presence of two cams that are fabricated to permit prescribed nonlinear responses in pitch and plunge.…”
Section: System Modelmentioning
confidence: 99%
“…The control laws developed were applied to a wing section with a single, full-span, trailing-edge control surface and validated in windtunnel experiments. Block and Strganac 7 made use of Theodorsen's unsteady aerodynamic model and implemented a linear controller derived via the linear quadratic regulator (LQG) approach combined with a Kalman estimator to provide the additional, nonmeasurable states resulting from Theodorsen's function and servomotor dynamics. The controller stabilized the system if activated during the transient phase of the motion, but its capability was limited once the system was entrained in LCO motion.…”
The control of nonlinear aeroelastic response of a wing section with a continuous stiffening-type structural nonlinearity is examined through analytical and experimental studies. Motivated by the limited effectiveness of using a single, trailing-edge control surface for the suppression of limit-cycle oscillations of a typical wing section, improvements in the control of limit-cycle oscillations are investigated through the use of multiple control surfaces, namely, an additional leading-edge control surface. The control methodology consists of a feedback linearization approach that transforms the system equations of motion via Lie algebraic methods and a model reference adaptive control strategy that augments the closed-loop system to account for inexact cancellation of nonlinear terms due to modeling uncertainty. Specifically, uncertainty in the nonlinear pitch stiffness is examined. It is shown through simulations and experiments that globally stabilizing control may be achieved by using two control surfaces. Nomenclature a = nondimensional distance from midchord to elastic axis position b = semichord of wing section= pitch cam moment of inertia I cg − wing = wing section moment of inertia about the center of gravity I α = total pitch moment of inertia about elastic axis k h = plunge stiffness m T = total mass of pitch-plunge system m wing = mass of wing section m W − tot = total wing section plus mount mass r cg = distance from elastic axis to center of mass s = wing section span U = freestream velocity x α = nondimensional distance from elastic axis to center of mass α = angle of attack β = trailing-edge control surface deflection γ = leading-edge control surface deflection ρ = air density
“…This model has proven to be adequate for low reduced frequency, subsonic flow, as validated by the experiments. 7,8,15 The wing section modeled by these equations of motion has been built for experiments on the nonlinear aeroelastic test apparatus (NATA) 16 in the 2 × 3 ft low-speed wind tunnel. A unique feature of NATA is the presence of two cams that are fabricated to permit prescribed nonlinear responses in pitch and plunge.…”
Section: System Modelmentioning
confidence: 99%
“…The control laws developed were applied to a wing section with a single, full-span, trailing-edge control surface and validated in windtunnel experiments. Block and Strganac 7 made use of Theodorsen's unsteady aerodynamic model and implemented a linear controller derived via the linear quadratic regulator (LQG) approach combined with a Kalman estimator to provide the additional, nonmeasurable states resulting from Theodorsen's function and servomotor dynamics. The controller stabilized the system if activated during the transient phase of the motion, but its capability was limited once the system was entrained in LCO motion.…”
The control of nonlinear aeroelastic response of a wing section with a continuous stiffening-type structural nonlinearity is examined through analytical and experimental studies. Motivated by the limited effectiveness of using a single, trailing-edge control surface for the suppression of limit-cycle oscillations of a typical wing section, improvements in the control of limit-cycle oscillations are investigated through the use of multiple control surfaces, namely, an additional leading-edge control surface. The control methodology consists of a feedback linearization approach that transforms the system equations of motion via Lie algebraic methods and a model reference adaptive control strategy that augments the closed-loop system to account for inexact cancellation of nonlinear terms due to modeling uncertainty. Specifically, uncertainty in the nonlinear pitch stiffness is examined. It is shown through simulations and experiments that globally stabilizing control may be achieved by using two control surfaces. Nomenclature a = nondimensional distance from midchord to elastic axis position b = semichord of wing section= pitch cam moment of inertia I cg − wing = wing section moment of inertia about the center of gravity I α = total pitch moment of inertia about elastic axis k h = plunge stiffness m T = total mass of pitch-plunge system m wing = mass of wing section m W − tot = total wing section plus mount mass r cg = distance from elastic axis to center of mass s = wing section span U = freestream velocity x α = nondimensional distance from elastic axis to center of mass α = angle of attack β = trailing-edge control surface deflection γ = leading-edge control surface deflection ρ = air density
“…The aeroelastic wing model with nonlinear friction was validated by experiments in [44]. Similar models with linear friction were used in [45] [46], [47] and [48].…”
Section: Qlpv Model Of the Aeroelastic Wing With Nonlinear Frictionmentioning
The aim of this paper is to fit the friction compensation problem in the field of modern polytopic and Linear Matrix Inequality (LMI) based control design methodologies. The paper proves that the exact Tensor Product (TP) type polytopic representations of most commonly utilized friction models such as Coulomb, Stribeck and LuGre exist. The paper also determines and evaluates these TP models via a TP model transformation. The conceptual use of the TP model of the friction is demonstrated via a complex control design problem of a 2D aeroelastic wing section. The paper shows how the friction model and the model of the aeroelastic wing section can be merged and transformed to a TP type polytopic model -by TP model transformation -whereupon LMI based control performance optimization can immediately be executed to yield an observer based output feedback control solution to given specifications. The example is evaluated via numerical simulations.
“…Of more relevance to the present work is a series of publications by Strganac and colleagues [9][10][11][12][13][14], in which the application of active control on aeroelastic systems with hardening-type structural nonlinearities has been investigated both theoretically also experimentally, through the use of quasi-steady aeroelastic models. These studies utilised the feedback linearisation nonlinear control method, in conjunction with LQR control as the linear control objective.…”
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