To reduce initial control magnitude in backstepping: A continuous predictive approach

Mingzhe Hou; Guangren Duan; Xiaoling Liang; Zongquan Deng

doi:10.1109/ASCC.2015.7244374

To reduce initial control magnitude in backstepping: A continuous predictive approach

School of Astronautics

Harbin Institute of Technology
School of Mechatronics Engineering, Harbin Institute of Technology

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

1 Scopus citations

Abstract

In this paper, a novel backstepping control algorithm is proposed by adopting the nonlinear continuous predictive approach. An optimization performance index containing the weighted tracking error and control input is introduced to obtain the actual control law. By adjusting the weighting matrix, the control magnitude in the initial stage can be reduced. In addition, when the weighting matrix imposing on input vector vanishes, the control law just coincides with the traditional backstepping control law. The proposed approach is further applied to the control of aircrafts. The simulation results show the effectiveness and advantage of our method.

Original language	English
Title of host publication	2015 10th Asian Control Conference
Subtitle of host publication	Emerging Control Techniques for a Sustainable World, ASCC 2015
Editors	Hazlina Selamat, Hafiz Rashidi Haruna Ramli, Ahmad Athif Mohd Faudzi, Ribhan Zafira Abdul Rahman, Asnor Juraiza Ishak, Azura Che Soh, Siti Anom Ahmad
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479978625
DOIs	https://doi.org/10.1109/ASCC.2015.7244374
State	Published - 8 Sep 2015
Event	10th Asian Control Conference, ASCC 2015 - Kota Kinabalu, Malaysia Duration: 31 May 2015 → 3 Jun 2015

Publication series

Name	2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015

Conference

Conference	10th Asian Control Conference, ASCC 2015
Country/Territory	Malaysia
City	Kota Kinabalu
Period	31/05/15 → 3/06/15

Keywords

aircraft control
backstepping control
continuous predictive approach
control magnitude

Access to Document

10.1109/ASCC.2015.7244374

Cite this

Hou, M., Duan, G., Liang, X., & Deng, Z. (2015). To reduce initial control magnitude in backstepping: A continuous predictive approach. In H. Selamat, H. R. H. Ramli, A. A. M. Faudzi, R. Z. A. Rahman, A. J. Ishak, A. C. Soh, & S. A. Ahmad (Eds.), 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015 Article 7244374 (2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASCC.2015.7244374

Hou, Mingzhe ; Duan, Guangren ; Liang, Xiaoling et al. / To reduce initial control magnitude in backstepping : A continuous predictive approach. 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. editor / Hazlina Selamat ; Hafiz Rashidi Haruna Ramli ; Ahmad Athif Mohd Faudzi ; Ribhan Zafira Abdul Rahman ; Asnor Juraiza Ishak ; Azura Che Soh ; Siti Anom Ahmad. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015).

@inproceedings{caa921ec0cca41128a5aa7ca9f8d87aa,

title = "To reduce initial control magnitude in backstepping: A continuous predictive approach",

abstract = "In this paper, a novel backstepping control algorithm is proposed by adopting the nonlinear continuous predictive approach. An optimization performance index containing the weighted tracking error and control input is introduced to obtain the actual control law. By adjusting the weighting matrix, the control magnitude in the initial stage can be reduced. In addition, when the weighting matrix imposing on input vector vanishes, the control law just coincides with the traditional backstepping control law. The proposed approach is further applied to the control of aircrafts. The simulation results show the effectiveness and advantage of our method.",

keywords = "aircraft control, backstepping control, continuous predictive approach, control magnitude",

author = "Mingzhe Hou and Guangren Duan and Xiaoling Liang and Zongquan Deng",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 10th Asian Control Conference, ASCC 2015 ; Conference date: 31-05-2015 Through 03-06-2015",

year = "2015",

month = sep,

day = "8",

doi = "10.1109/ASCC.2015.7244374",

language = "英语",

series = "2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Hazlina Selamat and Ramli, \{Hafiz Rashidi Haruna\} and Faudzi, \{Ahmad Athif Mohd\} and Rahman, \{Ribhan Zafira Abdul\} and Ishak, \{Asnor Juraiza\} and Soh, \{Azura Che\} and Ahmad, \{Siti Anom\}",

booktitle = "2015 10th Asian Control Conference",

address = "美国",

}

Hou, M , Duan, G, Liang, X & Deng, Z 2015, To reduce initial control magnitude in backstepping: A continuous predictive approach. in H Selamat, HRH Ramli, AAM Faudzi, RZA Rahman, AJ Ishak, AC Soh & SA Ahmad (eds), 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015., 7244374, 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015, Institute of Electrical and Electronics Engineers Inc., 10th Asian Control Conference, ASCC 2015, Kota Kinabalu, Malaysia, 31/05/15. https://doi.org/10.1109/ASCC.2015.7244374

To reduce initial control magnitude in backstepping: A continuous predictive approach. / Hou, Mingzhe ; Duan, Guangren; Liang, Xiaoling et al.
2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. ed. / Hazlina Selamat; Hafiz Rashidi Haruna Ramli; Ahmad Athif Mohd Faudzi; Ribhan Zafira Abdul Rahman; Asnor Juraiza Ishak; Azura Che Soh; Siti Anom Ahmad. Institute of Electrical and Electronics Engineers Inc., 2015. 7244374 (2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015).

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

TY - GEN

T1 - To reduce initial control magnitude in backstepping

T2 - 10th Asian Control Conference, ASCC 2015

AU - Hou, Mingzhe

AU - Duan, Guangren

AU - Liang, Xiaoling

AU - Deng, Zongquan

PY - 2015/9/8

Y1 - 2015/9/8

N2 - In this paper, a novel backstepping control algorithm is proposed by adopting the nonlinear continuous predictive approach. An optimization performance index containing the weighted tracking error and control input is introduced to obtain the actual control law. By adjusting the weighting matrix, the control magnitude in the initial stage can be reduced. In addition, when the weighting matrix imposing on input vector vanishes, the control law just coincides with the traditional backstepping control law. The proposed approach is further applied to the control of aircrafts. The simulation results show the effectiveness and advantage of our method.

AB - In this paper, a novel backstepping control algorithm is proposed by adopting the nonlinear continuous predictive approach. An optimization performance index containing the weighted tracking error and control input is introduced to obtain the actual control law. By adjusting the weighting matrix, the control magnitude in the initial stage can be reduced. In addition, when the weighting matrix imposing on input vector vanishes, the control law just coincides with the traditional backstepping control law. The proposed approach is further applied to the control of aircrafts. The simulation results show the effectiveness and advantage of our method.

KW - aircraft control

KW - backstepping control

KW - continuous predictive approach

KW - control magnitude

UR - https://www.scopus.com/pages/publications/84957703736

U2 - 10.1109/ASCC.2015.7244374

DO - 10.1109/ASCC.2015.7244374

M3 - 会议稿件

AN - SCOPUS:84957703736

T3 - 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015

BT - 2015 10th Asian Control Conference

A2 - Selamat, Hazlina

A2 - Ramli, Hafiz Rashidi Haruna

A2 - Faudzi, Ahmad Athif Mohd

A2 - Rahman, Ribhan Zafira Abdul

A2 - Ishak, Asnor Juraiza

A2 - Soh, Azura Che

A2 - Ahmad, Siti Anom

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 31 May 2015 through 3 June 2015

ER -

Hou M , Duan G, Liang X, Deng Z. To reduce initial control magnitude in backstepping: A continuous predictive approach. In Selamat H, Ramli HRH, Faudzi AAM, Rahman RZA, Ishak AJ, Soh AC, Ahmad SA, editors, 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7244374. (2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015). doi: 10.1109/ASCC.2015.7244374

To reduce initial control magnitude in backstepping: A continuous predictive approach

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