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Vibration suppression of a flexible piezoelectric beam using bp neural network controller
  • ISSN号：0894-9166
  • 期刊名称：Acta Mechanica Solida Sinica
  • 时间：2012.8
  • 页码：417-428
  • 分类：TP18[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程] TP242[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构：[1]School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China
  • 相关基金：Project supported by the Key Project（No.60934001）;the General Projects（Nos.51175181and90505014）of the National Natural Science Foundation of China;by the Fundamental Research Funds for the Central Universities,SCUT（No.2012ZZ0060）
  • 相关项目：空间柔性结构动力学和自适应振动及颤振控制研究
作者： Qiu, Zhicheng|Zhang, Xiangtong|Ye, Chunde|
关键词： 神经网络控制器, 振动抑制, BPNN, 压电梁, BP神经网络, 动力学模型, PD控制律, 有限元建模, flexible piezoelectric beam； active vibration control； neural network； finite element analysis
中文摘要：

这份报纸瞄准为一根灵活压电的横梁为颤动控制方法建模并且发展中。并置的传感器 / 致动器放置被使用。有限元素分析(FEA ) 方法被采用导出系统的动力学模型。神经网络(BPNN ) 基于的背繁殖比例衍生物(PD ) 算法被使用压制颤动。模拟和实验用 FEA 模型和 BPNN-PD 控制法律被进行。试验性的结果用有限元素建模和神经网络控制与模拟结果显示出好同意算法。

英文摘要：

This paper aims at modeling and developing vibration control methods for a flexible piezoelectric beam. A collocated sensor/actuator placement is used. Finite element analysis （FEA） method is adopted to derive the dynamics model of the system. A back propagation neural network （BPNN） based proportional-derivative （PD） algorithm is applied to suppress the vibration. Simulation and experiments are conducted using the FEA model and BPNN-PD control law. Experimental results show good agreement with the simulation results using finite element modeling and the neural network control algorithm.

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期刊信息
  • 《固体力学学报：英文版》
  • 主管单位:
  • 主办单位:中国力学学会
  • 主编：郑泉水
  • 地址：武汉市珞喻路1037号华中科技大学南一楼西北508室
  • 邮编：430074
  • 邮箱：amss@mail.hust.edu.cn
  • 电话：027-87543737
  • 国际标准刊号：ISSN：0894-9166
  • 国内统一刊号：ISSN：42-1121/O3
  • 邮发代号:
  • 获奖情况:
  • 国内外数据库收录:
  • 被引量:133