Application of Deep Reinforcement Learning in Reconfiguration Control of Aircraft Anti-Skid Braking System

doi:10.3390/aerospace9100555

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	Application of Deep Reinforcement Learning in Reconfiguration Control of Aircraft Anti-Skid Braking System
	S. C. Liu; Z. Yang; Z. Zhang; R. Q. Jiang; T. Y. Ren; Y. Jiang; S. Chen and X. K. Zhang
	2022
发表期刊	Aerospace
卷号	9 期号:10 页码:25
摘要	The aircraft anti-skid braking system (AABS) plays an important role in aircraft taking off, taxiing, and safe landing. In addition to the disturbances from the complex runway environment, potential component faults, such as actuators faults, can also reduce the safety and reliability of AABS. To meet the increasing performance requirements of AABS under fault and disturbance conditions, a novel reconfiguration controller based on linear active disturbance rejection control combined with deep reinforcement learning was proposed in this paper. The proposed controller treated component faults, external perturbations, and measurement noise as the total disturbances. The twin delayed deep deterministic policy gradient algorithm (TD3) was introduced to realize the parameter self-adjustments of both the extended state observer and the state error feedback law. The action space, state space, reward function, and network structure for the algorithm training were properly designed, so that the total disturbances could be estimated and compensated for more accurately. The simulation results validated the environmental adaptability and robustness of the proposed reconfiguration controller.
DOI	10.3390/aerospace9100555
URL	查看原文
收录类别	sci
语种	英语
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/66423
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	S. C. Liu,Z. Yang,Z. Zhang,et al. Application of Deep Reinforcement Learning in Reconfiguration Control of Aircraft Anti-Skid Braking System[J]. Aerospace,2022,9(10):25.
APA	S. C. Liu.,Z. Yang.,Z. Zhang.,R. Q. Jiang.,T. Y. Ren.,...&S. Chen and X. K. Zhang.(2022).Application of Deep Reinforcement Learning in Reconfiguration Control of Aircraft Anti-Skid Braking System.Aerospace,9(10),25.
MLA	S. C. Liu,et al."Application of Deep Reinforcement Learning in Reconfiguration Control of Aircraft Anti-Skid Braking System".Aerospace 9.10(2022):25.

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