Optimal shape control of adaptive structures for performance maximization

Yoon, Hwan‐Sik

doi:10.1007/s00158-013-0917-6

Cited by 10 publications

(3 citation statements)

References 14 publications

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“…Indirect methods, like Subramanian and Mohan's successive peak error correction algorithm [20], have proven economical and practical for correcting shape deformation; further improvements were made to the algorithm by Skelton and DeLorenzo [21]. Yoon [22] used finite element analysis (FEA) to control the shape of adaptive one-dimensional structures for performance optimization, and Salama, Umland [23] employed simulated annealing with FEA for controlling a truss system. In another study, piezoelectric sensor distribution was implemented for shape control for intelligent structures based on FEA [24].…”

Section: Shape Controlmentioning

confidence: 99%

A Review: Structural Shape and Stress Control Techniques and their Applications

Manguri,

Saeed,

Jankowski

2024

Arch Computat Methods Eng

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This review article presents prior studies on controlling shape and stress in flexible structures. The study offers a comprehensive survey of literature concerning the adjustment and regulation of shape, stress, or both in structures and emphasizes such control’s importance. The control of systems is classified into three primary classes: nodal movement control, axial force control, and controlling the two classes concurrently. Each class is thoroughly assessed, showcasing diverse methods anticipated by various scholars. Furthermore, the paper discusses methods to reduce the number of devices (actuators) to adjust and optimize actuators’ placement to achieve optimal structural control, considering the cost implications of numerous actuators. Additionally, various actuators are presented in detail, their advantages and disadvantages are also discussed. Moreover, the applications of the presented techniques are reviewed in detail, the essential recommendations for future work are also suggested.

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Section: Shape Controlmentioning

confidence: 99%

A Review: Structural Shape and Stress Control Techniques and their Applications

Manguri,

Saeed,

Jankowski

2024

Arch Computat Methods Eng

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“…It will be shown that the system defined by Eqs. (13)(14)(15)(16)) has a number of equilibria which are both stable and unstable and may be connected through paths in the phase space of the problem. One type of path is the heteroclinic connection which requires the stable and unstable manifolds of two unstable equilibria to be connected.…”

Section: Approximate Heteroclinic Connection and Controlmentioning

confidence: 99%

“…An elastic continuous beam model with simply supported boundary conditions was also investigated by Camescasse, Fernandes and Pouget [11,12] who used nonlinear theory to investigate the transition between two stable positions of a buckled beam and snap-through phenomenon. Yoon and Washington have shown that deformable structures can be reconfigured through an optimal method of shape control, and a mechanically deformable reflector antenna structure was simulated as an application [13,14]. Some applications of reconfiguring smart structures are also emerging to improve the aerodynamic and aeroelastic performance of aircraft [15].…”

Section: Introductionmentioning

confidence: 99%

Reconfiguring smart structures using approximate heteroclinic connections

Zhang

McInnes

2015

Smart Mater. Struct.

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Abstract.A new method is investigated to reconfigure smart structures by the technique of polynomial series, used to approximate a true heteroclinic connection between unstable equilibria in a smart structure model. We explore the use of polynomials of varying order to firstly approximate the heteroclinic connection between two equalenergy unstable equilibrium points, and then develop an inverse method to control the dynamics of the system to track the reference polynomial trajectory. It is found that high order polynomials can provide a good approximation to heteroclinic connections and provide an efficient means of generating such trajectories. The method is used firstly in a simple smart structure model to illustrate the method and is then extended to a more complex model where the numerical generation of true heteroclinic connections is difficult. It is envisaged that being computationally efficient, the method could form the basis for real-time reconfiguration of smart structures using heteroclinic connections between equal-energy, unstable configurations.

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