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CLC number: TP273; V249

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2012-05-31

Cited: 31

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Journal of Zhejiang University SCIENCE C 2012 Vol.13 No.7 P.534-543

http://doi.org/10.1631/jzus.C1100371


Trajectory tracking for an autonomous airship using fuzzy adaptive sliding mode control


Author(s):  Yue-neng Yang, Jie Wu, Wei Zheng

Affiliation(s):  College of Aerospace and Materials Engineering, National University of Defense Technology, Changsha 410073, China

Corresponding email(s):   zhengwei_nudt@163.com

Key Words:  Trajectory control, Sliding mode, Fuzzy system, Adaptation law, Uncertainty, External disturbance, Airship


Yue-neng Yang, Jie Wu, Wei Zheng. Trajectory tracking for an autonomous airship using fuzzy adaptive sliding mode control[J]. Journal of Zhejiang University Science C, 2012, 13(7): 534-543.

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journal="Journal of Zhejiang University Science C",
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pages="534-543",
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T1 - Trajectory tracking for an autonomous airship using fuzzy adaptive sliding mode control
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A1 - Wei Zheng
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C1100371


Abstract: 
We present a novel control approach for trajectory tracking of an autonomous airship. First, the dynamics model and the trajectory control problem of an airship are formulated. Second, the sliding mode control law is designed to track a time-varying reference trajectory. To achieve better control performance, fuzzy adaptive sliding mode control is proposed in which the control gains are tuned according to fuzzy rules, and an adaptation law is used to guarantee that the control gains can compensate for model uncertainties of the airship. The stability of the closed-loop control system is proven via the Lyapunov theorem. Finally, simulation results illustrate the effectiveness and robustness of the proposed control scheme.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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