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Optimal Control of Steel Structures by Improved Particle Swarm
Saeid Aghajanian,Hadi Baghi,Fereidoun Amini,Masoud Zabihi Samani 한국강구조학회 2014 International Journal of Steel Structures Vol.14 No.2
Active control is one of the modern approaches in seismic design of steel structures. Recently, induced by economicconsiderations, especially high expenses of control systems, optimality has become an important issue. In this paper an activesystem is used to control a steel structure’s displacements by a simplified pole assignment method. To optimize the number,the locations, and the total driving force of the required actuators, an improved particle swarm algorithm is presented focusingon the parameters of the velocity equation. A Geographical neighborhood topology and an adaptive inertia weight are used toimprove the standard PSO algorithm. In addition to the local and global best solutions, the positions of the best particles inthe geographical neighborhood are mathematically represented in an additional term. The performance of the proposedalgorithm is compared with the traditional Genetic Algorithm (GA) and the standard particle swarm considering the optimalcontrol of a 12-story steel structure as a numerical example. High capabilities of the proposed method in terms of the controltarget, convergence rate, and accuracy are simultaneously clarified by the results.
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