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

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

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 me...

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Bibliographic Details
Main Authors: Shuchang Liu, Zhong Yang, Zhao Zhang, Runqiang Jiang, Tongyang Ren, Yuan Jiang, Shuang Chen, Xiaokai Zhang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Aerospace
Subjects:
aircraft anti-skid braking system
actuator faults
reconfiguration control
linear active-disturbance rejection control
deep reinforcement learning
twin delayed deep deterministic policy gradient algorithm
Online Access:https://www.mdpi.com/2226-4310/9/10/555

Internet

https://www.mdpi.com/2226-4310/9/10/555

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