首页> 外文期刊>Computers & Structures >Multi-objective Optimal Design Of Fuzzy Logic Controller Using A Self Configurable Swarm Intelligence Algorithm
【24h】

Multi-objective Optimal Design Of Fuzzy Logic Controller Using A Self Configurable Swarm Intelligence Algorithm

机译:基于自配置群智能算法的模糊逻辑控制器多目标优化设计

获取原文
获取原文并翻译 | 示例
           

摘要

This paper presents a multi-objective fuzzy logic controller (PSO-FLC) for active vibration control of seis-mically exited buildings by combining a new self configurable multi-objective PSO (particle swarm optimisation) algorithm with fuzzy logic controller. The rule base of the proposed PSO-FLC is tuned for optimal control performance by simultaneously optimizing displacement, drift ratio, acceleration and average control force. In addition, the proposed PSO-FLC algorithm also optimises the number as well as the optimal locations of the actuators. Six and 10 storey framed structures subjected to seismic excitations are considered as numerical examples to demonstrate the superior performance of the PSO-FLC algorithm over other control algorithms.
机译:通过结合一种新的可自配置的多目标PSO(粒子群优化)算法与模糊逻辑控制器,提出了一种多目标模糊逻辑控制器(PSO-FLC),用于主动退出建筑物的振动控制。通过同时优化位移,漂移比,加速度和平均控制力,对提出的PSO-FLC的规则库进行了调整,以实现最佳控制性能。此外,提出的PSO-FLC算法还优化了执行器的数量以及最佳位置。受到地震激励的六层和十层框架结构被视为数值示例,以证明PSO-FLC算法优于其他控制算法的性能。

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