Active vibration control under intelligent structure

Chao Li; Jian Qin Mao

Active vibration control under intelligent structure

Chao Li^*
, Jian Qin Mao

^*Corresponding author for this work

Research institute of Aero-Engine

Beihang University

Research output: Contribution to journal › Article › peer-review

Abstract

A simple hyperstable adaptive recursive filter (SHARP) algorithm based on nonlinear model is proposed. The nonlinear model of magnetostrictive actuator is obtained by using radial basis neural network. The experimental results show that the proposed approach is real-time efficient. An attenuation of about 30 dB is achieved. The algorithm is also suitable as a reference to the stabilizing control of a class of nonlinear system with magnetic hysteresis loop.

Original language	English
Pages (from-to)	160-164
Number of pages	5
Journal	Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)
Volume	36
Issue number	SUPPL.
State	Published - Aug 2005

Keywords

Active vibration control
Magnetic hysteresis loop
Magnetostrictive actuator
Radial basis neural network
SHARP

Cite this

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title = "Active vibration control under intelligent structure",

abstract = "A simple hyperstable adaptive recursive filter (SHARP) algorithm based on nonlinear model is proposed. The nonlinear model of magnetostrictive actuator is obtained by using radial basis neural network. The experimental results show that the proposed approach is real-time efficient. An attenuation of about 30 dB is achieved. The algorithm is also suitable as a reference to the stabilizing control of a class of nonlinear system with magnetic hysteresis loop.",

keywords = "Active vibration control, Magnetic hysteresis loop, Magnetostrictive actuator, Radial basis neural network, SHARP",

author = "Chao Li and Mao, \{Jian Qin\}",

year = "2005",

month = aug,

language = "英语",

volume = "36",

pages = "160--164",

journal = "Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)",

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AU - Li, Chao

AU - Mao, Jian Qin

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N2 - A simple hyperstable adaptive recursive filter (SHARP) algorithm based on nonlinear model is proposed. The nonlinear model of magnetostrictive actuator is obtained by using radial basis neural network. The experimental results show that the proposed approach is real-time efficient. An attenuation of about 30 dB is achieved. The algorithm is also suitable as a reference to the stabilizing control of a class of nonlinear system with magnetic hysteresis loop.

AB - A simple hyperstable adaptive recursive filter (SHARP) algorithm based on nonlinear model is proposed. The nonlinear model of magnetostrictive actuator is obtained by using radial basis neural network. The experimental results show that the proposed approach is real-time efficient. An attenuation of about 30 dB is achieved. The algorithm is also suitable as a reference to the stabilizing control of a class of nonlinear system with magnetic hysteresis loop.

KW - Active vibration control

KW - Magnetic hysteresis loop

KW - Magnetostrictive actuator

KW - Radial basis neural network

KW - SHARP

UR - https://www.scopus.com/pages/publications/25144474995

M3 - 文章

AN - SCOPUS:25144474995

SN - 1672-7207

VL - 36

SP - 160

EP - 164

JO - Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)

JF - Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)

IS - SUPPL.

ER -

Active vibration control under intelligent structure

Abstract

Keywords

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