Active maneuver load alleviation for a pitching wing via spanwise-distributed camber morphing

IF 5 1区工程技术 Q1 ENGINEERING, AEROSPACE

Aerospace Science and Technology Pub Date : 2024-10-23 DOI:10.1016/j.ast.2024.109693

You Wu , Jinying Li , Yuting Dai , Yongchang Li , Chao Yang

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引用次数: 0

Abstract

This paper presents the design and verification of a nonlinear model inversion (NMI) controller for the maneuver load alleviation of a pitching oscillating wing based on spanwise-distributed active camber morphing. Recurrent neural networks (RNNs) are used to predict nonlinear and unsteady aerodynamic forces due to wing's large amplitude pitching maneuver, and a fully connected neural network is introduced to build the dynamic inversion of the aeroelastic system for control law design. The inversed system is concatenated with a PI controller to assemble a nonlinear active controller. The controller is first utilized in an offline environment for a 1DoF pitching finite-span wing with spanwise-distributed active camber morphing and then verified in CFD-based fluid-structure-control coupling simulation. The results show that the offline controller could eliminate the maneuver load. In the online CFD-based fluid-structure-control simulation, the bending moment can be alleviated by 38%.

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通过跨度分布式外倾角变形减轻俯仰翼的主动机动载荷

本文介绍了一种非线性模型反演（NMI）控制器的设计与验证，该控制器用于减轻基于跨度分布式主动外倾变形的俯仰摆动翼的机动载荷。利用递归神经网络（RNN）预测机翼大振幅俯仰机动引起的非线性和非稳定气动力，并引入全连接神经网络建立气动弹性系统的动态反演，以进行控制律设计。反演后的系统与 PI 控制器连接，形成一个非线性有源控制器。该控制器首先在离线环境下用于带有跨度分布式主动外倾角变形的 1DoF 俯仰有限跨度机翼，然后在基于 CFD 的流体-结构-控制耦合仿真中进行验证。结果表明，离线控制器可以消除操纵载荷。在基于 CFD 的流固耦合仿真中，弯矩可减少 38%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Aerospace Science and Technology 工程技术-工程：宇航

CiteScore

10.30

自引率

28.60%

发文量

654

审稿时长

54 days

期刊介绍： Aerospace Science and Technology publishes articles of outstanding scientific quality. Each article is reviewed by two referees. The journal welcomes papers from a wide range of countries. This journal publishes original papers, review articles and short communications related to all fields of aerospace research, fundamental and applied, potential applications of which are clearly related to: • The design and the manufacture of aircraft, helicopters, missiles, launchers and satellites • The control of their environment • The study of various systems they are involved in, as supports or as targets. Authors are invited to submit papers on new advances in the following topics to aerospace applications: • Fluid dynamics • Energetics and propulsion • Materials and structures • Flight mechanics • Navigation, guidance and control • Acoustics • Optics • Electromagnetism and radar • Signal and image processing • Information processing • Data fusion • Decision aid • Human behaviour • Robotics and intelligent systems • Complex system engineering. Etc.