Multicriteria Optimization for Design of Structures with Active Control
Publication: Journal of Aerospace Engineering
Volume 11, Issue 2
Abstract
This paper describes a method to design a structure and control system simultaneously using a multiobjective optimization approach based on global criteria. The control system was based on a modified linear quadratic regulator (LQR) with bounds placed on the control forces to simulate limitations of real actuators. In the design of the control system, the state space equations were integrated using a Runge-Kutta method for a specified initial boundary condition. The structural weight, the weight of the actuators, the time required to suppress an initial disturbance, and the performance index were considered as different objective functions to be optimized. The design variables were the bounds on the maximum values of the control force, the cross-sectional areas of the structural elements, and elements of the weighting matrices in the control design. As an example to illustrate the application of the approach, a box beam idealized by rod elements was used. The actuators and sensors were collocated and assumed to be embedded in structural elements. The results are presented for optimum designs obtained by changing different parameters in the definition of the global criteria.
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Copyright © 1998 American Society of Civil Engineers.
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Published online: Apr 1, 1998
Published in print: Apr 1998
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