Modal Isolation and Damping for Adaptive Aeroservoelastic Suppression

Danowsky, Brian P.; Thompson, Peter M.; Lee, Dong‐Chan; Brenner, Marty

doi:10.2514/6.2013-4743

Cited by 30 publications

(21 citation statements)

References 13 publications

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“…Summing up the findings of Sections IV-A to IV-C, the optimization problem with included mode decoupling constraints (16) can be efficiently solved by first finding an optimal phase angle…”

Section: Summary Of the Proposed Algorithmmentioning

confidence: 99%

“…Another static blending approach is presented in [14], where control inputs are allocated such that dominating modes can be controlled with a simplified control law. In case only a single mode needs to be controlled, according static decoupling approaches are proposed in [15] and [16]. While in [16], the input and output blending vectors are computed iteratively, [15] directly exploits the shape of the mode to be controlled.…”

Section: Introductionmentioning

confidence: 99%

“…In case only a single mode needs to be controlled, according static decoupling approaches are proposed in [15] and [16]. While in [16], the input and output blending vectors are computed iteratively, [15] directly exploits the shape of the mode to be controlled. Apart from the direct blending for individual mode isolation, SISO controller designs may also be enabled by diagonalizing the whole underlying MIMO system such that each input controls a single output.…”

Section: Introductionmentioning

confidence: 99%

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$\mathcal{H}_{2}$ -Optimal Blending of Inputs and Outputs for Modal Control

Pusch

Ossmann

2020

IEEE Trans. Contr. Syst. Technol.

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For many dynamical systems it is required to actively control individual modes, especially when these are lightly damped or even unstable. In order to achieve a maximum control performance, these systems are often augmented with a large number of control inputs and measurement outputs. To overcome the challenge of choosing an adequate combination of input and output signals for modal control, an H2-optimal isolation of modes via blending of inputs and outputs is proposed in this article. Enforcing an explicit mode decoupling, the approach enables controlling individual modes with simple single-input single-output controllers. A numerically efficient algorithm is derived for the joint computation of the interdependent input and output blending vectors. The effectiveness of the proposed approach is demonstrated by increasing the modal damping of an aeroelastic system.Index Terms-mode decoupling, modal control, over-actuated and over-sensed systems

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“…Summing up the findings of Sections IV-A to IV-C, the optimization problem with included mode decoupling constraints (16) can be efficiently solved by first finding an optimal phase angle…”

Section: Summary Of the Proposed Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

$\mathcal{H}_{2}$ -Optimal Blending of Inputs and Outputs for Modal Control

Pusch

Ossmann

2020

IEEE Trans. Contr. Syst. Technol.

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show abstract

“…To tackle this problem, promising control approaches as presented in [27] or [28] have proposed to blend control inputs or measurement outputs, and thereby reduce the control problem size. Through the combination of blending inputs and outputs with the objective of isolating and damping aeroelastic modes which dominate the structural loads, accordingly, blending-based control approaches have been applied, for example, in [29][30][31], where herein, the approach from [32] is used.…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of an Aeroservoelastic Wind Tunnel Model

Dillinger

Meddaikar

Lübker

et al. 2020

Fluids

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Through the combination of passive and active load alleviation techniques, this paper presents the design, optimization, manufacturing, and update of a flexible composite wind tunnel model. In a first step, starting from the specification of an adequate wing and trailing edge flap geometry, passive, static aeroelastic stiffness optimizations for various objective functions have been performed. The second optimization step comprised a discretization of the continuous stiffness distributions, resulting in manufacturable stacking sequences. In order to determine which of the objective functions investigated in the passive structural optimization most efficiently complemented the projected active control schemes, the condensed modal finite element models were integrated in an aeroelastic model, involving a dedicated gust load alleviation controller. The most promising design was selected for manufacturing. The finite element representation could be updated to conform to the measured eigenfrequencies, based on the dynamic identification of the model. Eventually, a wind tunnel test campaign was conducted in November 2018 and results have been examined in separate reports.

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“…The common point of many of these methods is that they introduce input and output blending vectors to decouple modes and reduce the control design into a Single Input Single Output (SISO) problem accordingly. [6] determines an optimal blend for the measurements which assures the isolation of the selected mode, and simultaneously computes an optimal blend for multiple control inputs to suppress the selected mode via a negative optimal feedback, and minimize the control's effect on other modes. [7] introduces a joint H 2 norm based input and output blend calculation method which assures the controllability, observability and the independent control of selected modes.…”

Section: Introductionmentioning

confidence: 99%

An H_-/H∞ blending for mode decoupling

Baár

Luspay

2019

2019 American Control Conference (ACC)

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A novel input and output blend calculation method is presented for decoupled control of selected modes. Decoupling is carried out by maximizing the minimum sensitivity of the controlled mode while minimizing the worst case gain for other mode(s) from the blended input to the blended output. This leads to an optimization problem of joint maximization of the H− index of the controlled mode and the minimization of the H∞ norm corresponding to other modes. The optimization problem is formalized with Linear Matrix Inequalities, and two examples from the aerospace engineering field are given for evaluation purposes.

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Modal Isolation and Damping for Adaptive Aeroservoelastic Suppression

Cited by 30 publications

References 13 publications

$\mathcal{H}_{2}$ -Optimal Blending of Inputs and Outputs for Modal Control

$\mathcal{H}_{2}$ -Optimal Blending of Inputs and Outputs for Modal Control

Design and Optimization of an Aeroservoelastic Wind Tunnel Model

An H_-/H∞ blending for mode decoupling

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Modal Isolation and Damping for Adaptive Aeroservoelastic Suppression

Cited by 30 publications

References 13 publications

$\mathcal{H}_{2}$ -Optimal Blending of Inputs and Outputs for Modal Control

$\mathcal{H}_{2}$ -Optimal Blending of Inputs and Outputs for Modal Control

Design and Optimization of an Aeroservoelastic Wind Tunnel Model

An H-/H∞ blending for mode decoupling

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Product

Resources

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An H_-/H∞ blending for mode decoupling