...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of steel structures >Optimal Control of Steel Structures by Improved Particle Swarm
【24h】

Optimal Control of Steel Structures by Improved Particle Swarm

机译：改进粒子群算法的钢结构最优控制

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Active control is one of the modern approaches in seismic design of steel structures. Recently, induced by economic considerations, especially high expenses of control systems, optimality has become an important issue. In this paper an active system 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 focusing on the parameters of the velocity equation. A Geographical neighborhood topology and an adaptive inertia weight are used to improve the standard PSO algorithm. In addition to the local and global best solutions, the positions of the best particles in the geographical neighborhood are mathematically represented in an additional term. The performance of the proposed algorithm is compared with the traditional Genetic Algorithm (GA) and the standard particle swarm considering the optimal control of a 12-story steel structure as a numerical example. High capabilities of the proposed method in terms of the control target, convergence rate, and accuracy are simultaneously clarified by the results.
机译：主动控制是钢结构抗震设计中的现代方法之一。最近，出于经济考虑，尤其是控制系统的高昂费用，优化已成为重要的问题。本文采用一种主动系统，通过简化的极点分配方法来控制钢结构的位移。为了优化所需执行器的数量，位置和总驱动力，提出了一种改进的粒子群算法，重点放在速度方程的参数上。地理邻域拓扑和自适应惯性权重用于改进标准PSO算法。除了本地和全局最佳解决方案外，还可以用一个附加的术语来数学表示地理位置上最佳粒子的位置。以12层钢结构的最优控制为例，将所提算法的性能与传统遗传算法（GA）和标准粒子群算法进行了比较。结果同时阐明了该方法在控制目标，收敛速度和精度方面的高功能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号