Model-Free Control Design for Multi-Input Multi-Output Aeroelastic System Subject to External Disturbance

Wang, Z.; Behal, Aman; Marzocca, Pier

doi:10.2514/1.51403

Cited by 69 publications

(70 citation statements)

References 34 publications

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“…Multi-input/multi-output control designs are used in papers [8,12,23]. However, the actuator dynamics are not included in the models in those cases.…”

Section: Dmentioning

confidence: 99%

Tensor-Product-Model-Based Control of a Three Degrees-of-Freedom Aeroelastic Model

Takarics

Bárányi

2013

Journal of Guidance, Control, and Dynamics

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“…Multi-input/multi-output control designs are used in papers [8,12,23]. However, the actuator dynamics are not included in the models in those cases.…”

Section: Dmentioning

confidence: 99%

Tensor-Product-Model-Based Control of a Three Degrees-of-Freedom Aeroelastic Model

Takarics

Bárányi

2013

Journal of Guidance, Control, and Dynamics

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“…In the actual system of 2-DOF pitch-plunge wing, J 1 is minimized and subjected to the constraints in equation (13). This performance index may lead to a serious problem under the condition that amplitude or rate saturation of the control input exists in the system.…”

Section: Dynamics Transformation and Linearizationmentioning

confidence: 99%

“…The general governing equation of this aeroelastic system with external disturbances, which is developed from the previous research results in, 13,26,27 is as follows (2) where C l , C m , and C mÀ eff are change rate of lift, moment, and effective moment with respect to angle of attack, respectively. C l , C m , and C mÀ eff denote change rate of lift, moment, and effective moment with respect to trailing-edge control surface deflections, respectively.…”

Section: System Description For 2-dof Pitch-plunge Wingmentioning

confidence: 99%

“…10 In recent years, the methods of data driven can be used to many aspects, such as fault diagnosis, 11 robot control, 12 and aeronautical and aerospace area. 13 With the development of the control theory, there are several typical DDC strategies, for example, model-free adaptive control (MFAC), 14 lazy learning approach, 15 and dynamic optimization strategy. 16 MFAC is one of the most popular DDC methods used in many fields.…”

Section: Introductionmentioning

confidence: 99%

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Model-free adaptive optimal controller design for aeroelastic system with input constraints

Fei

2016

International Journal of Advanced Robotic Systems

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In this thesis, an innovative model-free adaptive control strategy based on a multi-observer technique that takes advantage of input/output measurement data is proposed for the aeroelastic system of the two degree of freedom pitch-plunge wing, and this unknown complicated nonlinear system is a general multi-input multi-output plant with input constraints. In this algorithm, the multi-observer technique is applied to estimate the value of the pseudopartial derivative parameter matrix in the approach of the compact form dynamic linearization designed to linearize the model of the two-dimensional wingflap system with input constraints. At the same time, this model-free adaptive control method consists of the approximate internal model and the optimal controller. Moreover, this control scheme is based on the linear matrix inequalities, which is a kind of real-time computation. In the design process for controlling this two-dimensional wing-flap system in the condition that the control inputs are subjected to amplitude and change rate limits, the problem of the dynamic control is transformed into the optimization problem, which can minimize the performance index. Finally, simulation results for the two-dimensional wing-flap system with input constraints can demonstrate the availability and potential of the presented multi-observer-based model-free optimal control strategy for unknown nonlinear multi-input multi-output system with input saturation.

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“…The Nonlinear Aeroelastic Test Apparatus (NATA) model with 3 degrees-of-freedom (DoF) and unsteady aerodynamics was designed in [2,3] with several control solution approaches found in [4,5,6,7,8,9,10,11,12,13,14,15] to name a few. These papers include adaptive control, nonlinear backstepping adaptive control, neural network based approach, optimal infinite-horizon control law, full-state feedforward/feedback control and other control design approaches.…”

Section: Introductionmentioning

confidence: 99%

TP Model-based Robust Stabilization of the 3 Degrees-of-Freedom Aeroelastic Wing Section

Takarics

Bárányi

2014

APH

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Active stabilisation of the 2 and 3 degrees-of-freedom (DoF) aeroelastic wind sections with structural nonlinearities led to various control solutions in the recent years. The paper proposes a control design strategy to stabilise the 3 Dof aeroelastic model. It is assumed that the aeroelastic model has uncertain parameters in the trailing edge dynamics and only one state variable, the pitch angle is measurable, therefore, robust output feedback control solution is derived based on the Tensor Product (TP) type convex representation of the aeroelastic model. The control performance requirements include robust asymptotic stability and constraint on the l 2 norm of the control signal. The control performance requirements are formulated in terms of Linear Matrix Inequalities (LMIs). As the first step of the proposed strategy, the TP type model is obtained by executing TP transformation. As the second step, LMI based control design is performed resulting in controller and observer solution defined with the same polytopic structure as the TP type model. The validation and evaluation of the derived control solutions is based on numerical simulations.Keywords: aeroelastic wing, robust LMI-based multi-objetive control, TP model transformation, qLPV systems NomenclatureThe variables used in the paper are defined as below:-a = non-dimensional distance from the mid-chord to the elastic axis

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Model-Free Control Design for Multi-Input Multi-Output Aeroelastic System Subject to External Disturbance

Cited by 69 publications

References 34 publications

Tensor-Product-Model-Based Control of a Three Degrees-of-Freedom Aeroelastic Model

Tensor-Product-Model-Based Control of a Three Degrees-of-Freedom Aeroelastic Model

Model-free adaptive optimal controller design for aeroelastic system with input constraints

TP Model-based Robust Stabilization of the 3 Degrees-of-Freedom Aeroelastic Wing Section

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