Vibration Suppression of a Principal Parametric Resonance

Chen, Lei; He, Fangpo; Sammut, Karl

doi:10.1177/1077546308091217

Cited by 21 publications

(20 citation statements)

References 23 publications

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“…A common practice is to maximize the inherited robustness of a controller by careful parameter design and tuning [5], [6]. Further robustness improvement can be achieved via advanced techniques such as nonlinear control [7]- [9], H ∞ or optimized loop-shaping robust control [10]- [12], and adaptive intelligent control [13], [14]. A more attractive approach distinguished from the aforementioned comes with the concept of unknown-input estimation, which brings disturbance rejection to a higher level, as demonstrated by various industrial applications [15]- [22].…”

Section: Introductionmentioning

confidence: 99%

A Novel Actuator Controller: Delivering a Practical Solution to Realization of Active-Truss-Based Morphing Wings

Tang

Chen

et al. 2016

IEEE Trans. Ind. Electron.

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Abstract-A novel actuator controller is proposed in this paper for active-truss-based morphing wings (ATBMWs). An ATBMW is a new type of smart structure capable of smooth and continuous profile change, and has the potential to provide better stealth and aerodynamic performance over airfoils with discrete control surfaces. However, the sophisticated ATBMW framework and large amount of highly interacted actuators make it difficult to obtain the overall rigid-body dynamics of the wing for controller design and inconvenient to tune controllers on board. The focus of this study is thus to solve the aforementioned problems by developing an actuator-level control scheme that does not rely on the wing rigid-body dynamics and on-board tuning. The linear-quadratic-Gaussian (LQG) controller is adopted for actuator trajectory tracking, and a novel unknown-input estimator (UIE) is devised to handle un-modeled dynamics. By integrating the UIE with the LQG algorithm, a new tracking controller with enhanced tolerance to uncertainties is constructed. It is shown in simulations and experiments on an ATBMW prototype that the proposed UIE-integrated LQG controller can be designed simply using the known actuator dynamics without on-board tuning, and superior trajectory tracking of actuators was observed despite the presence of un-modeled dynamics and exogenous disturbances.

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Section: Introductionmentioning

confidence: 99%

A Novel Actuator Controller: Delivering a Practical Solution to Realization of Active-Truss-Based Morphing Wings

Tang

Chen

et al. 2016

IEEE Trans. Ind. Electron.

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“…Vibration energy of a linear master structure is absorbed to suppress undesired oscillations by coupling a time delay to a master mass. To broaden a valid range in frequency for suppression of vibrations, Zhao and Xu [18] proposed a delayed-resonator vibration absorber with nonlinear master and slave structures, and then a linear timedelayed active absorber was realized in relative experiment [19,20]. The slave structure in this study has geometrical nonlinearity, which can expand the frequency range so that vibration energy could be absorbed easily in engineering practice.…”

Section: Introductionmentioning

confidence: 94%

Dynamical Performances of a Vibration Absorber for Continuous Structure considering Time-Delay Coupling

Sun¹,

Song²

2016

Shock and Vibration

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The nonlinear effect incurred by time delay in vibration control is investigated in this study via a vibration absorber coupled with a continuous beam structure. The stability of the vibration absorber coupled structure system with time-delay coupling is firstly studied, which provides a general guideline for the potential time delay to be introduced to the system. Then it is shown that there is a specific region for the time delay which can bring bifurcation modes to the dynamic response of the coupling system, and the vibration energy at low frequencies can be transferred or absorbed due to the bifurcation mode and the vibration in the corresponding frequency range is thus suppressed. The nonlinear mechanism of this vibration suppression incurred by the coupling time delay is discussed in detail, which provides a novel and alternative approach to the analysis, design, and control of vibration absorbers in engineering practice.

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“…In terms of control methods for suppressing LCOs, various algorithms apply [2], [3]. Due to the time-varying nature and nonlinear characteristics of an aeroelastic system and the increasing demand on wider operation range beyond the flutter boundary, adaptive and robust control has become a major focus in recent studies for active suppression of airfoil flutter (ASAF).…”

Section: Introductionmentioning

confidence: 99%

Nonlinear optimal control for active suppression of airfoil flutter via a novel neural-network-based controller

Tang

Chen

Tian

et al. 2017

2017 25th Mediterranean Conference on Control and Automation (MED)

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This paper proposes a novel nonlinear controller based on neural networks (NNs) for active suppression of airfoil flutter (ASAF). Aeroelastic flutter can damage airfoils if not properly controlled. Existing optimal controllers for ASAF are sensitive to modeling errors while other controllers less prone to uncertainties do not provide optimal control. This study, thus, focuses on solving these problems by deriving a new intelligent model-based control scheme capable of synthesizing nonlinear near-optimal control laws in real time according to a known model and online updated system dynamics. A four-degreesof-freedom aeroelastic model that has nonlinear translational and torsional stiffness and employs leading/trailing-edge control surfaces as control inputs is considered. Optimal control laws for the nonlinear aeroelastic system is synthesized by solving the Hamiltonian-Jacobi-Bellman equation through NN-based value function approximation (VFA) and synchronous policy iteration in a Critic-Actor configuration. A systematic approach based on linear matrix inequalities (LMIs) is proposed for the design of a scheduled parameter matrix for the VFA. An NN-based identifier is also derived to capture un-modeled dynamics online. Extended Kalman filters are employed to tune NN parameters. The proposed controller was tested in wind-tunnel experiments. Comparisons drawn with a linearparameter-varying optimal controller confirms the effectiveness and validity of the proposed control scheme.

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Vibration Suppression of a Principal Parametric Resonance

Cited by 21 publications

References 23 publications

A Novel Actuator Controller: Delivering a Practical Solution to Realization of Active-Truss-Based Morphing Wings

A Novel Actuator Controller: Delivering a Practical Solution to Realization of Active-Truss-Based Morphing Wings

Dynamical Performances of a Vibration Absorber for Continuous Structure considering Time-Delay Coupling

Nonlinear optimal control for active suppression of airfoil flutter via a novel neural-network-based controller

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