Robust nonlinear control design for an IPMC by using ABC-based operator approach

Wudai Liao; Tongbin Yan; Aihui Wang; Shengjun Wen; Xinkai Chen

doi:10.1109/SICE.2015.7285335

Robust nonlinear control design for an IPMC by using ABC-based operator approach

Wudai Liao, Tongbin Yan, Aihui Wang, Shengjun Wen, Xinkai Chen

研究成果

1 被引用数 (Scopus)

抄録

In this paper, a robust nonlinear control design for ionic polymer metal composite (IPMC) with uncertainties is proposed by using artificial bee colony based-operator approach. In detail, first, for a nonlinear IPMC dynamic model with uncertainties, a robust control system based on operator based robust right coprime factorization (RRCF) approach is presented. Second, considering the unknown uncertain plant that generates limitations in obtaining so-called universal condition, a proportional integral (PI) controller is designed to realize tracking control for the proposed robust stable system. Moreover, an artificial bee colony (ABC) algorithm is used to obtain on line the control parameters (K_p, K_i) of PI controller. Finally, the effectiveness of the proposed control system is confirmed by simulation results.

本文言語	English
ホスト出版物のタイトル	2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	440-444
ページ数	5
ISBN（電子版）	9784907764487
DOI	https://doi.org/10.1109/SICE.2015.7285335
出版ステータス	Published - 2015 9月 30
イベント	54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 - Hangzhou, China 継続期間: 2015 7月 28 → 2015 7月 30

Other

Other	54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
国/地域	China
City	Hangzhou
Period	15/7/28 → 15/7/30

ASJC Scopus subject areas

制御およびシステム工学

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10.1109/SICE.2015.7285335

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引用スタイル

Liao, W, Yan, T, Wang, A, Wen, S & Chen, X 2015, Robust nonlinear control design for an IPMC by using ABC-based operator approach. in 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015., 7285335, Institute of Electrical and Electronics Engineers Inc., pp. 440-444, 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015, Hangzhou, China, 15/7/28. https://doi.org/10.1109/SICE.2015.7285335

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title = "Robust nonlinear control design for an IPMC by using ABC-based operator approach",

abstract = "In this paper, a robust nonlinear control design for ionic polymer metal composite (IPMC) with uncertainties is proposed by using artificial bee colony based-operator approach. In detail, first, for a nonlinear IPMC dynamic model with uncertainties, a robust control system based on operator based robust right coprime factorization (RRCF) approach is presented. Second, considering the unknown uncertain plant that generates limitations in obtaining so-called universal condition, a proportional integral (PI) controller is designed to realize tracking control for the proposed robust stable system. Moreover, an artificial bee colony (ABC) algorithm is used to obtain on line the control parameters (Kp, Ki) of PI controller. Finally, the effectiveness of the proposed control system is confirmed by simulation results.",

keywords = "artificial bee colony algorithm, IPMC, robust nonlinear control, robust right coprime factorization",

author = "Wudai Liao and Tongbin Yan and Aihui Wang and Shengjun Wen and Xinkai Chen",

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AU - Liao, Wudai

AU - Yan, Tongbin

AU - Wang, Aihui

AU - Wen, Shengjun

AU - Chen, Xinkai

PY - 2015/9/30

Y1 - 2015/9/30

N2 - In this paper, a robust nonlinear control design for ionic polymer metal composite (IPMC) with uncertainties is proposed by using artificial bee colony based-operator approach. In detail, first, for a nonlinear IPMC dynamic model with uncertainties, a robust control system based on operator based robust right coprime factorization (RRCF) approach is presented. Second, considering the unknown uncertain plant that generates limitations in obtaining so-called universal condition, a proportional integral (PI) controller is designed to realize tracking control for the proposed robust stable system. Moreover, an artificial bee colony (ABC) algorithm is used to obtain on line the control parameters (Kp, Ki) of PI controller. Finally, the effectiveness of the proposed control system is confirmed by simulation results.

AB - In this paper, a robust nonlinear control design for ionic polymer metal composite (IPMC) with uncertainties is proposed by using artificial bee colony based-operator approach. In detail, first, for a nonlinear IPMC dynamic model with uncertainties, a robust control system based on operator based robust right coprime factorization (RRCF) approach is presented. Second, considering the unknown uncertain plant that generates limitations in obtaining so-called universal condition, a proportional integral (PI) controller is designed to realize tracking control for the proposed robust stable system. Moreover, an artificial bee colony (ABC) algorithm is used to obtain on line the control parameters (Kp, Ki) of PI controller. Finally, the effectiveness of the proposed control system is confirmed by simulation results.

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KW - IPMC

KW - robust nonlinear control

KW - robust right coprime factorization

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Robust nonlinear control design for an IPMC by using ABC-based operator approach

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