Machine learning-based active flutter suppression for a flexible flying-wing aircraft

Xusheng Mu, Rui Huang, Qitong Zou, Haiyan Hu*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

13 引用 (Scopus)

摘要

It is challenging to synthesize controller parameters for high-dimensional aeroservoelastic systems, such as a flexible aircraft, so that the controller cannot work effectively. This paper presents a novel design approach of machine learning-based control law for the problem of active flutter suppression. The approach is able to automatically tune the controller parameters via machine learning and avoid the conventional and tedious procedure of manual tuning. As such, the approach leads to a controller with better performance synthesized. The paper deals with a case study of active flutter suppression for a flexible flying-wing aircraft and demonstrates the control performance and efficiency of the machine learning-based control scheme in expanding the flutter boundaries. Based on the environment/agent interface of reinforcement learning, the proposed approach takes the closed-loop aeroservoelastic system as an environment and the actor-critic neural networks as an agent. The approach trains the policy of synthesizing the optimal controller parameters through the interaction between the environment and the agent. In the numerical simulation, with the active flutter suppression controller synthesized via the well-trained policy automatically, the critical flutter speed of the closed-loop aeroservoelastic system increases by about 36.6% compared to the open-loop system robustly. Moreover, the stability and the robustness of the closed-loop aeroservoelastic system designed via the proposed approach are better than that with a conventional robust H controller.

源语言英语
文章编号116916
期刊Journal of Sound and Vibration
529
DOI
出版状态已出版 - 7 7月 2022
已对外发布

指纹

探究 'Machine learning-based active flutter suppression for a flexible flying-wing aircraft' 的科研主题。它们共同构成独一无二的指纹。

引用此

Mu, X., Huang, R., Zou, Q., & Hu, H. (2022). Machine learning-based active flutter suppression for a flexible flying-wing aircraft. Journal of Sound and Vibration, 529, 文章 116916. https://doi.org/10.1016/j.jsv.2022.116916