On approach of multiple frequency active vibration control under the actuator with magnetic hysteresis loop

Chao Li; Jianqin Mao

On approach of multiple frequency active vibration control under the actuator with magnetic hysteresis loop

Chao Li^*
, Jianqin Mao

^*Corresponding author for this work

Research institute of Aero-Engine

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Since the magnetostrictive actuator is a nonlinear plant with magnetic hysteresis loop, its multiple frequency active vibration control is more complicated. in this paper, a Simple Hyperstable Adaptive Recursive Filter (SHARF) algorithm based on nonlinear model is proposed. The nonlinear model of magnetostrictive actuator is obtained by using radial basis neural network. The experimental result show that the proposed approach is real-time efficient. An attenuation of about 30dB 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
Title of host publication	Proceedings of the 16th IFAC World Congress, IFAC 2005
Pages	943-947
Number of pages	5
State	Published - 2005
Event	16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005 - Prague, Czech Republic Duration: 3 Jul 2005 → 8 Jul 2005

Publication series

Name	IFAC Proceedings Volumes (IFAC-PapersOnline)
Volume	16
ISSN (Print)	1474-6670

Conference

Conference	16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005
Country/Territory	Czech Republic
City	Prague
Period	3/07/05 → 8/07/05

Keywords

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

Cite this

@inproceedings{0767979cd11045e491835c89c6936209,

title = "On approach of multiple frequency active vibration control under the actuator with magnetic hysteresis loop",

abstract = "Since the magnetostrictive actuator is a nonlinear plant with magnetic hysteresis loop, its multiple frequency active vibration control is more complicated. in this paper, a Simple Hyperstable Adaptive Recursive Filter (SHARF) algorithm based on nonlinear model is proposed. The nonlinear model of magnetostrictive actuator is obtained by using radial basis neural network. The experimental result show that the proposed approach is real-time efficient. An attenuation of about 30dB 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, SHARF",

author = "Chao Li and Jianqin Mao",

year = "2005",

language = "英语",

isbn = "008045108X",

series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

pages = "943--947",

booktitle = "Proceedings of the 16th IFAC World Congress, IFAC 2005",

note = "16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005 ; Conference date: 03-07-2005 Through 08-07-2005",

}

Li, C & Mao, J 2005, On approach of multiple frequency active vibration control under the actuator with magnetic hysteresis loop. in Proceedings of the 16th IFAC World Congress, IFAC 2005. IFAC Proceedings Volumes (IFAC-PapersOnline), vol. 16, pp. 943-947, 16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005, Prague, Czech Republic, 3/07/05.

TY - GEN

T1 - On approach of multiple frequency active vibration control under the actuator with magnetic hysteresis loop

AU - Li, Chao

AU - Mao, Jianqin

PY - 2005

Y1 - 2005

N2 - Since the magnetostrictive actuator is a nonlinear plant with magnetic hysteresis loop, its multiple frequency active vibration control is more complicated. in this paper, a Simple Hyperstable Adaptive Recursive Filter (SHARF) algorithm based on nonlinear model is proposed. The nonlinear model of magnetostrictive actuator is obtained by using radial basis neural network. The experimental result show that the proposed approach is real-time efficient. An attenuation of about 30dB 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 - Since the magnetostrictive actuator is a nonlinear plant with magnetic hysteresis loop, its multiple frequency active vibration control is more complicated. in this paper, a Simple Hyperstable Adaptive Recursive Filter (SHARF) algorithm based on nonlinear model is proposed. The nonlinear model of magnetostrictive actuator is obtained by using radial basis neural network. The experimental result show that the proposed approach is real-time efficient. An attenuation of about 30dB 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 - SHARF

UR - https://www.scopus.com/pages/publications/79960712395

M3 - 会议稿件

AN - SCOPUS:79960712395

SN - 008045108X

SN - 9780080451084

T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)

SP - 943

EP - 947

BT - Proceedings of the 16th IFAC World Congress, IFAC 2005

T2 - 16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005

Y2 - 3 July 2005 through 8 July 2005

ER -

On approach of multiple frequency active vibration control under the actuator with magnetic hysteresis loop

Abstract

Publication series

Conference

Keywords

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