Adaptive control for magnetostrictive actuated nano-positioner

Xinkai Chen; Ying Feng; Chun Yi Su

doi:10.1109/ROBIO.2013.6739431

Adaptive control for magnetostrictive actuated nano-positioner

Xinkai Chen, Ying Feng, Chun Yi Su

研究成果 › 査読

抄録

The nano-positioner driven by magnetostrictive actuator is composed of a magnetostrictive actuator and a positioning mechanism (PM). Due to the existence of hysteretic nonlinearity in the magnetostrictive actuator and the friction behavior in the PM, the accurate position control of the nano-stage is a challenging task. This paper discusses the high precision control for the magnetostrictive nano-positioner, where the hysteresis is described by Preisach model. The proposed control law ensures the zero output tracking of the controlled positioner. Experimental results show the effectiveness of the proposed method.

本文言語	English
ページ	32-37
ページ数	6
DOI	https://doi.org/10.1109/ROBIO.2013.6739431
出版ステータス	Published - 2013 1月 1
イベント	2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013 - Shenzhen, China 継続期間: 2013 12月 12 → 2013 12月 14

Conference

Conference	2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013
国/地域	China
City	Shenzhen
Period	13/12/12 → 13/12/14

ASJC Scopus subject areas

人工知能
コンピュータサイエンスの応用
バイオテクノロジー

文献へのアクセス

10.1109/ROBIO.2013.6739431

他のファイルとリンク

引用スタイル

@conference{2f1eb324bfd942f0b03b8c82cbb90a64,

title = "Adaptive control for magnetostrictive actuated nano-positioner",

abstract = "The nano-positioner driven by magnetostrictive actuator is composed of a magnetostrictive actuator and a positioning mechanism (PM). Due to the existence of hysteretic nonlinearity in the magnetostrictive actuator and the friction behavior in the PM, the accurate position control of the nano-stage is a challenging task. This paper discusses the high precision control for the magnetostrictive nano-positioner, where the hysteresis is described by Preisach model. The proposed control law ensures the zero output tracking of the controlled positioner. Experimental results show the effectiveness of the proposed method.",

author = "Xinkai Chen and Ying Feng and Su, {Chun Yi}",

year = "2013",

month = jan,

day = "1",

doi = "10.1109/ROBIO.2013.6739431",

language = "English",

pages = "32--37",

note = "2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013 ; Conference date: 12-12-2013 Through 14-12-2013",

}

TY - CONF

T1 - Adaptive control for magnetostrictive actuated nano-positioner

AU - Chen, Xinkai

AU - Feng, Ying

AU - Su, Chun Yi

PY - 2013/1/1

Y1 - 2013/1/1

N2 - The nano-positioner driven by magnetostrictive actuator is composed of a magnetostrictive actuator and a positioning mechanism (PM). Due to the existence of hysteretic nonlinearity in the magnetostrictive actuator and the friction behavior in the PM, the accurate position control of the nano-stage is a challenging task. This paper discusses the high precision control for the magnetostrictive nano-positioner, where the hysteresis is described by Preisach model. The proposed control law ensures the zero output tracking of the controlled positioner. Experimental results show the effectiveness of the proposed method.

AB - The nano-positioner driven by magnetostrictive actuator is composed of a magnetostrictive actuator and a positioning mechanism (PM). Due to the existence of hysteretic nonlinearity in the magnetostrictive actuator and the friction behavior in the PM, the accurate position control of the nano-stage is a challenging task. This paper discusses the high precision control for the magnetostrictive nano-positioner, where the hysteresis is described by Preisach model. The proposed control law ensures the zero output tracking of the controlled positioner. Experimental results show the effectiveness of the proposed method.

UR - http://www.scopus.com/inward/record.url?scp=84898782961&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84898782961&partnerID=8YFLogxK

U2 - 10.1109/ROBIO.2013.6739431

DO - 10.1109/ROBIO.2013.6739431

M3 - Paper

AN - SCOPUS:84898782961

SP - 32

EP - 37

T2 - 2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013

Y2 - 12 December 2013 through 14 December 2013

ER -

Adaptive control for magnetostrictive actuated nano-positioner

抄録

Conference

ASJC Scopus subject areas

文献へのアクセス

他のファイルとリンク

フィンガープリント

引用スタイル