...
首页> 外文期刊>Smart Materials & Structures >Experimental study on active vibration control using genetic algorithm-based system identification and optimized positive position feedback
【24h】

Experimental study on active vibration control using genetic algorithm-based system identification and optimized positive position feedback

机译:基于遗传算法的系统辨识和优化正位置反馈的主动振动控制实验研究

获取原文
获取原文并翻译 | 示例
           

摘要

A genetic algorithm is implemented to identify the transfer function of an experimental system consisting of a flexible manipulator with a collocated piezoelectric sensor/actuator pair. A multi-mode positive position feedback controller is then designed based upon the identified transfer function. To this end, the same iteratively implemented genetic algorithm is used to optimize all controller parameters by minimization of the closed loop H_∞- norm. The designed controller is then applied for vibration suppression on the experimental system.
机译:实施遗传算法来识别由柔性机械手和并置的压电传感器/执行器对组成的实验系统的传递函数。然后基于识别出的传递函数设计多模式正位置反馈控制器。为此,使用相同的迭代实现遗传算法,通过最小化闭环H_∞-范数来优化所有控制器参数。然后将设计的控制器应用于实验系统的振动抑制。

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