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  • 1
    Publication Date: 2011-08-24
    Description: An approach to combined control-structural optimization aimed at enhancing early design trade-offs is outlined and illustrated by numerical examples. The approach employs a homotopic strategy and is capable of generating families of designs that can be used in early trade studies. Analytical results are obtained for classes of structure/control objectives with LQG and LQR costs. For these, it is demonstrated that global optima can be computed for small values of the homotopy parameter.
    Keywords: CYBERNETICS
    Type: Computational Mechanics (ISSN 0178-7675); 8; 1-18
    Format: text
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  • 2
    Publication Date: 2013-08-31
    Description: An approach for combined control-structure optimization keyed to enhancing early design trade-offs is outlined and illustrated by numerical examples. The approach employs a homotopic strategy and appears to be effective for generating families of designs that can be used in these early trade studies. Analytical results were obtained for classes of structure/control objectives with linear quadratic Gaussian (LQG) and linear quadratic regulator (LQR) costs. For these, researchers demonstrated that global optima can be computed for small values of the homotopy parameter. Conditions for local optima along the homotopy path were also given. Details of two numerical examples employing the LQR control cost were given showing variations of the optimal design variables along the homotopy path. The results of the second example suggest that introducing a second homotopy parameter relating the two parts of the control index in the LQG/LQR formulation might serve to enlarge the family of Pareto optima, but its effect on modifying the optimal structural shapes may be analogous to the original parameter lambda.
    Keywords: CYBERNETICS
    Type: JPL, Proceedings of the 3rd Annual Conference on Aerospace Computational Control, Volume 1; p 155-169
    Format: application/pdf
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  • 3
    Publication Date: 2019-06-28
    Description: This paper outlines the development of methods for the combined control-structure optimization of physical systems encountered in the technology of large space structures. The objectives of the approach taken in this paper is not to produce the 'best' optimized design, but rather to efficiently produce a family of design options so as to assist in early trade studies, typically before hard design constraints are imposed. The philosophy is that these are candidate designs to be passed on for further considerations, and their function is more to guide the development of the system design rather than to represent the ultimate product. A homotopy approach involving multi-objective functions is developed for this purpose. Analytical and numerical examples are also presented.
    Keywords: CYBERNETICS
    Type: AIAA PAPER 90-0658
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  • 4
    Publication Date: 2019-06-28
    Description: The optimal actuator placement problem encompasses finding their best locations and best gains. The latter is referred to as tuning the actuators. This paper deals with tuning a given set of actuators in presence of known structural nonlinearities arising from gaps at some joints. For this purpose, an efficient neural network-based algorithm is proposed and illustrated using numerical simulations.
    Keywords: CYBERNETICS
    Type: AIAA PAPER 93-1680 , In: AIAA(ASME)ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 34th and AIAA/ASME Adaptive Structures Forum, La Jolla, CA, Apr. 19-22, 1993, Technical Papers. Pt. 6 (A93-33876 1; p. 3209-3216.
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  • 5
    Publication Date: 2019-07-13
    Description: The underlying mathematical formulation and issues associated with integrated control, structure, and optical design are discussed. Topics addressed include the development of cost functionals, optimization in the vector objective setting, and computational aspects of the optimization problem with special emphasis on model reduction strategies. Results on simple design problems are presented.
    Keywords: CYBERNETICS
    Type: AIAA PAPER 91-1136 , AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference; Apr 08, 1991 - Apr 10, 1991; Baltimore, MD; United States
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  • 6
    Publication Date: 2019-07-13
    Description: A homotopy approach involving multiobjective functions is developed to outline the methods that have evolved for the combined control-structure optimization of physical systems encountered in the technology of large space structures. A method to effect a timely consideration of the control performance prior to the finalization of the structural design involves integrating the control and structural design processes into a unified design methodology that combines the two optimization problems into a single formulation. This study uses the combined optimization problem as a family of weighted structural and control costs. Connections with vector optimizations are described; an analysis of the zero-set of required conditions is made, and a numerical example is given.
    Keywords: CYBERNETICS
    Type: Southeastern Conference on Theoretical and Applied Mechanics; Mar 22, 1990 - Mar 23, 1990; Atlanta, GA; United States
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  • 7
    Publication Date: 2019-07-13
    Description: This paper outlines the development of methods for the combined control-structure optimization of physical systems encountered in the technology of large space structures. The objective of the approach taken in this paper is not to produce the 'best' optimized design, but rather to efficiently produce a family of design options so as to asist in early trade studies, typically before hard design constraints are imposed. The philosophy is that these are candidate designs to be passed on for further consideration, and their function is more to guide the development of the system design rather than to represent the ultimate product. A homotopy approach involving multi-objective functions is developed for this purpose, and a numerical example is presented.
    Keywords: CYBERNETICS
    Type: VPI&SU Symposium; May 08, 1989 - May 10, 1989; Blacksburg, VA; United States
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