Active vibration control under intelligent structure

Chao Li; Jian Qin Mao

Active vibration control under intelligent structure

Chao Li^*
, Jian Qin Mao

^*此作品的通讯作者

航空发动机研究院

Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

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.

源语言	英语
页（从-至）	160-164
页数	5
期刊	Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)
卷	36
期	SUPPL.
出版状态	已出版 - 8月 2005

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引用此

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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\}",

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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

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SN - 1672-7207

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

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Active vibration control under intelligent structure

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