Robust adaptive neural network control of aircraft braking system

Bihua Chen; Zongxia Jiao; Shuzhi Sam Ge; Chengwen Wang

doi:10.1109/INDIN.2012.6301235

Robust adaptive neural network control of aircraft braking system

Bihua Chen^*
, Zongxia Jiao
, Shuzhi Sam Ge
, Chengwen Wang

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University
National University of Singapore

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

4 Scopus citations

Abstract

This paper addresses the nonlinear robust braking control of aircraft. We consider the unknown aerodynamic forces and moments which will degrade the brake performance significantly. Moreover, for the transport or commercial air-crafts, weight variation will influence the braking control torque calculation. In this paper, robust adaptive control is proposed for aircraft braking system. By integrating a neural network (NN) estimator to approximate unknown aerodynamic forces and moments, the proposed control can effectively suppress the aerodynamic uncertainties and weight variation. The brake torque input constraint is also discussed in this paper. Simulation results clearly demonstrate the advantages and effectiveness of the proposed method.

Original language	English
Title of host publication	INDIN 2012 - IEEE 10th International Conference on Industrial Informatics
Pages	740-745
Number of pages	6
DOIs	https://doi.org/10.1109/INDIN.2012.6301235
State	Published - 2012
Event	IEEE 10th International Conference on Industrial Informatics, INDIN 2012 - Beijing, China Duration: 25 Jul 2012 → 27 Jul 2012

Publication series

Name	IEEE International Conference on Industrial Informatics (INDIN)
ISSN (Print)	1935-4576

Conference

Conference	IEEE 10th International Conference on Industrial Informatics, INDIN 2012
Country/Territory	China
City	Beijing
Period	25/07/12 → 27/07/12

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10.1109/INDIN.2012.6301235

Cite this

@inproceedings{82bd7a4ef9f14c6dab07aa6a415158e2,

title = "Robust adaptive neural network control of aircraft braking system",

abstract = "This paper addresses the nonlinear robust braking control of aircraft. We consider the unknown aerodynamic forces and moments which will degrade the brake performance significantly. Moreover, for the transport or commercial air-crafts, weight variation will influence the braking control torque calculation. In this paper, robust adaptive control is proposed for aircraft braking system. By integrating a neural network (NN) estimator to approximate unknown aerodynamic forces and moments, the proposed control can effectively suppress the aerodynamic uncertainties and weight variation. The brake torque input constraint is also discussed in this paper. Simulation results clearly demonstrate the advantages and effectiveness of the proposed method.",

author = "Bihua Chen and Zongxia Jiao and Ge, \{Shuzhi Sam\} and Chengwen Wang",

year = "2012",

doi = "10.1109/INDIN.2012.6301235",

language = "英语",

isbn = "9781467303118",

series = "IEEE International Conference on Industrial Informatics (INDIN)",

pages = "740--745",

booktitle = "INDIN 2012 - IEEE 10th International Conference on Industrial Informatics",

note = "IEEE 10th International Conference on Industrial Informatics, INDIN 2012 ; Conference date: 25-07-2012 Through 27-07-2012",

}

Chen, B, Jiao, Z, Ge, SS & Wang, C 2012, Robust adaptive neural network control of aircraft braking system. in INDIN 2012 - IEEE 10th International Conference on Industrial Informatics., 6301235, IEEE International Conference on Industrial Informatics (INDIN), pp. 740-745, IEEE 10th International Conference on Industrial Informatics, INDIN 2012, Beijing, China, 25/07/12. https://doi.org/10.1109/INDIN.2012.6301235

Robust adaptive neural network control of aircraft braking system. / Chen, Bihua; Jiao, Zongxia; Ge, Shuzhi Sam et al.
INDIN 2012 - IEEE 10th International Conference on Industrial Informatics. 2012. p. 740-745 6301235 (IEEE International Conference on Industrial Informatics (INDIN)).

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

TY - GEN

T1 - Robust adaptive neural network control of aircraft braking system

AU - Chen, Bihua

AU - Jiao, Zongxia

AU - Ge, Shuzhi Sam

AU - Wang, Chengwen

PY - 2012

Y1 - 2012

N2 - This paper addresses the nonlinear robust braking control of aircraft. We consider the unknown aerodynamic forces and moments which will degrade the brake performance significantly. Moreover, for the transport or commercial air-crafts, weight variation will influence the braking control torque calculation. In this paper, robust adaptive control is proposed for aircraft braking system. By integrating a neural network (NN) estimator to approximate unknown aerodynamic forces and moments, the proposed control can effectively suppress the aerodynamic uncertainties and weight variation. The brake torque input constraint is also discussed in this paper. Simulation results clearly demonstrate the advantages and effectiveness of the proposed method.

AB - This paper addresses the nonlinear robust braking control of aircraft. We consider the unknown aerodynamic forces and moments which will degrade the brake performance significantly. Moreover, for the transport or commercial air-crafts, weight variation will influence the braking control torque calculation. In this paper, robust adaptive control is proposed for aircraft braking system. By integrating a neural network (NN) estimator to approximate unknown aerodynamic forces and moments, the proposed control can effectively suppress the aerodynamic uncertainties and weight variation. The brake torque input constraint is also discussed in this paper. Simulation results clearly demonstrate the advantages and effectiveness of the proposed method.

UR - https://www.scopus.com/pages/publications/84868228846

U2 - 10.1109/INDIN.2012.6301235

DO - 10.1109/INDIN.2012.6301235

M3 - 会议稿件

AN - SCOPUS:84868228846

SN - 9781467303118

T3 - IEEE International Conference on Industrial Informatics (INDIN)

SP - 740

EP - 745

BT - INDIN 2012 - IEEE 10th International Conference on Industrial Informatics

T2 - IEEE 10th International Conference on Industrial Informatics, INDIN 2012

Y2 - 25 July 2012 through 27 July 2012

ER -

Robust adaptive neural network control of aircraft braking system

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