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Static control method using gradient-genetic algorithm for grillage adaptive beam string structures based on minimal internal force
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DOI：10.1631/jzus.A2200003.png)
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Abstract
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The grillage adaptive beam string structure (GABSS) is a new type of smart structure that can self-adjust its deformation and internal forces through a group of active struts (actuators) in response to changes in environmental conditions. In this paper, an internal force control method based on a gradient-genetic algorithm (GGA) is proposed for the static control of a tensioned structure (especially the GABSS). Specifically, an optimization model of the GABSS is established in which the adjustment values of the actuators are set as the control variables, and the internal force of the beam is set as the objective function. The improved algorithm has the advantage of the global optimization ability of the genetic algorithm and the local search ability of the gradient algorithm. Two examples are provided to illustrate the application of the GGA method. The results show that the proposed method is practical for solving the internal force control problem of the GABSS.
Keywords:
Grillage adaptive beam string structure (GABSS)
Gradient-genetic algorithm (GGA)
Structural control
Adaptive structure
Actuator
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