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

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

1 Citation (Scopus)

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 (K_p, K_i) of PI controller. Finally, the effectiveness of the proposed control system is confirmed by simulation results.

Original language	English
Title of host publication	2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	440-444
Number of pages	5
ISBN (Electronic)	9784907764487
DOIs	https://doi.org/10.1109/SICE.2015.7285335
Publication status	Published - 2015 Sept 30
Event	54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 - Hangzhou, China Duration: 2015 Jul 28 → 2015 Jul 30

Other

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

Keywords

artificial bee colony algorithm
IPMC
robust nonlinear control
robust right coprime factorization

ASJC Scopus subject areas

Control and Systems Engineering

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10.1109/SICE.2015.7285335

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Robust nonlinear control design for an IPMC by using ABC-based operator approach. / Liao, Wudai; Yan, Tongbin; Wang, Aihui et al.

2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 440-444 7285335.

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

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.",

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AU - Liao, Wudai

AU - Yan, Tongbin

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AU - Wen, Shengjun

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PY - 2015/9/30

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

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