Low-cost robust adaptive control of nonlinear uncertain systems with application to helicopters

Zhixi SHEN; Shuyan ZHOU; Yongduan SONG

doi:10.1109/CCDC.2016.7531246

Low-cost robust adaptive control of nonlinear uncertain systems with application to helicopters

Zhixi SHEN
, Shuyan ZHOU
, Yongduan SONG^*

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

1 Citation (Scopus)

Abstract

This paper presents a low-cost approach for robust adaptive control of helicopters. The developed control scheme is able to cope with modeling uncertainties and unexpected external disturbances with strong robustness and adaptability, ensuring uniformly ultimately bounded stable tracking with continuous control action. The effectiveness of the proposed control strategy is confirmed by systematic stability analysis and numerical simulation.

Original language	English
Title of host publication	Proceedings of the 28th Chinese Control and Decision Conference (2016 CCDC)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1640-1645
Number of pages	6
ISBN (Electronic)	9781467397148
ISBN (Print)	9781467397155
DOIs	https://doi.org/10.1109/CCDC.2016.7531246
Publication status	Published - May 2016
Externally published	Yes

Funding

This work is supported in part by the Major State Basic Research Development Program 973 (No. 2012CB215202, No. 2014CB249200), and the National Natural Science Foundation of China (No.61134001).

Keywords

attitude control
helicopter
Robust adaptive
uniformly ultimately bounded

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10.1109/CCDC.2016.7531246

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title = "Low-cost robust adaptive control of nonlinear uncertain systems with application to helicopters",

abstract = "This paper presents a low-cost approach for robust adaptive control of helicopters. The developed control scheme is able to cope with modeling uncertainties and unexpected external disturbances with strong robustness and adaptability, ensuring uniformly ultimately bounded stable tracking with continuous control action. The effectiveness of the proposed control strategy is confirmed by systematic stability analysis and numerical simulation.",

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Low-cost robust adaptive control of nonlinear uncertain systems with application to helicopters. / SHEN, Zhixi; ZHOU, Shuyan; SONG, Yongduan.
Proceedings of the 28th Chinese Control and Decision Conference (2016 CCDC). Institute of Electrical and Electronics Engineers Inc., 2016. p. 1640-1645.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

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AU - SHEN, Zhixi

AU - ZHOU, Shuyan

AU - SONG, Yongduan

PY - 2016/5

Y1 - 2016/5

N2 - This paper presents a low-cost approach for robust adaptive control of helicopters. The developed control scheme is able to cope with modeling uncertainties and unexpected external disturbances with strong robustness and adaptability, ensuring uniformly ultimately bounded stable tracking with continuous control action. The effectiveness of the proposed control strategy is confirmed by systematic stability analysis and numerical simulation.

AB - This paper presents a low-cost approach for robust adaptive control of helicopters. The developed control scheme is able to cope with modeling uncertainties and unexpected external disturbances with strong robustness and adaptability, ensuring uniformly ultimately bounded stable tracking with continuous control action. The effectiveness of the proposed control strategy is confirmed by systematic stability analysis and numerical simulation.

KW - attitude control

KW - helicopter

KW - Robust adaptive

KW - uniformly ultimately bounded

UR - https://www.scopus.com/pages/publications/84983786116

U2 - 10.1109/CCDC.2016.7531246

DO - 10.1109/CCDC.2016.7531246

M3 - Conference paper (refereed)

AN - SCOPUS:84983786116

SN - 9781467397155

SP - 1640

EP - 1645

BT - Proceedings of the 28th Chinese Control and Decision Conference (2016 CCDC)

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Low-cost robust adaptive control of nonlinear uncertain systems with application to helicopters

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Keywords

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