Neural-Network-Based Adaptive Finite-Time Control for a Two-Degree-of-Freedom Helicopter System With an Event-Triggering Mechanism

doi:10.1109/JAS.2023.123453

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	Neural-Network-Based Adaptive Finite-Time Control for a Two-Degree-of-Freedom Helicopter System With an Event-Triggering Mechanism
	Zhijia Zhao; Jian Zhang; Shouyan Chen; Wei He; Keum-Shik Hong
刊名	IEEE/CAA Journal of Automatica Sinica
	2023
卷号	10 期号:8 页码:1754-1765
关键词	Adaptive neural-network control event-triggering mechanism (ETM) finite time two-degree-of-freedom helicopter
ISSN号	2329-9266
DOI	10.1109/JAS.2023.123453
英文摘要	Helicopter systems present numerous benefits over fixed-wing aircraft in several fields of application. Developing control schemes for improving the tracking accuracy of such systems is crucial. This paper proposes a neural-network (NN)-based adaptive finite-time control for a two-degree-of-freedom helicopter system. In particular, a radial basis function NN is adopted to solve uncertainty in the helicopter system. Furthermore, an event-triggering mechanism (ETM) with a switching threshold is proposed to alleviate the communication burden on the system. By proposing an adaptive parameter, a bounded estimation, and a smooth function approach, the effect of network measurement errors is effectively compensated for while simultaneously avoiding the Zeno phenomenon. Additionally, the developed adaptive finite-time control technique based on an NN guarantees finite-time convergence of the tracking error, thus enhancing the control accuracy of the system. In addition, the Lyapunov direct method demonstrates that the closed-loop system is semiglobally finite-time stable. Finally, simulation and experimental results show the effectiveness of the control strategy.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/52337]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Zhijia Zhao,Jian Zhang,Shouyan Chen,et al. Neural-Network-Based Adaptive Finite-Time Control for a Two-Degree-of-Freedom Helicopter System With an Event-Triggering Mechanism[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(8):1754-1765.
APA	Zhijia Zhao,Jian Zhang,Shouyan Chen,Wei He,&Keum-Shik Hong.(2023).Neural-Network-Based Adaptive Finite-Time Control for a Two-Degree-of-Freedom Helicopter System With an Event-Triggering Mechanism.IEEE/CAA Journal of Automatica Sinica,10(8),1754-1765.
MLA	Zhijia Zhao,et al."Neural-Network-Based Adaptive Finite-Time Control for a Two-Degree-of-Freedom Helicopter System With an Event-Triggering Mechanism".IEEE/CAA Journal of Automatica Sinica 10.8(2023):1754-1765.