基于遗传算法的结构主动控制作动器优化布置

研究地震激励作用下主动控制结构的作动器优化布置,基于等效激励法构造了随机激励,应用状态空间控制算法进行了求解。针对作动器优化布置问题提出了基于遗传算法的优化方案,即利用遗传算法的0,1染色体编码模拟作动器的楼层空间布置,实现了作动器数目限定条件下,以楼层最大加速度和层间位移角组合为控制目标函数的作动器最优布置。仿真分析表明,该优化方法适应性强,效果显著。

The Optimal Placement about Actuators of Active Structural Control Based on Genetic Algorithm

The optimization of actuators of an active control structure under seismic excitation is studied. The random excitation is generated by equivalent excitation method, and the state space control algorithm is employed to calculate the dynamic responses. An optimized procedure based on genetic algorithm is proposed, in which a 0-1 chromosome coding is used to resemble the spatial arrangement of actuators. Several typical cases are analyzed, in which the fitness objectives are composed of maximum acceleration response and maximum inter-story angle, while the structure is controlled by certain actuators. The results demonstrate that the proposed method is suitable and effective.