中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Application of Deep Reinforcement Learning in Reconfiguration Control of Aircraft Anti-Skid Braking System

文献类型:期刊论文

作者S. C. Liu; Z. Yang; Z. Zhang; R. Q. Jiang; T. Y. Ren; Y. Jiang; S. Chen and X. K. Zhang
刊名Aerospace
出版日期2022
卷号9期号:10页码:25
DOI10.3390/aerospace9100555
英文摘要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.
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语种英语
源URL[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.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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