Robust optimization design of a flying wing using adjoint and uncertainty-based aerodynamic optimization approach

Shi, Yayun; Lan, Qinsheng; Lan, Xiayu; Wu, Jian; Yang, Tihao; Wang, Bo

doi:10.1007/s00158-023-03559-z

Cited by 41 publications

(9 citation statements)

References 23 publications

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“…The design of an efficient control algorithm is crucial to successfully navigating the complex details of quadcopters, with the ultimate objective of maximizing their performance in various operational situations ( Li, Ge & Lee, 2021 ; Zhang, Zhou & Li, 2023 ; Zhang et al, 2023 ). This approach guarantees both stability and precision during flight and highlights the ongoing development of control methods to meet the changing requirements of unmanned aerial vehicle technology ( Shi et al, 2023 ; Chen et al, 2022 ; Lu et al, 2022 ).…”

Section: Introductionmentioning

confidence: 93%

Enhanced trajectory tracking for quadrotors: disturbance observer state feedback control

Ren,

Wang,

Guan

2024

PeerJ Computer Science

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This study investigates the dynamics and trajectory tracking of quadcopters by utilizing the Disturbance Observer-based Control (DOBC) algorithm. The quadcopter’s dynamic model, which consists of six degrees of freedom, includes both disturbances and uncertainties in the model. The DOBC approach incorporates the disturbance model into the system by introducing it at the input variables. It then compensates for disturbances to achieve accurate tracking of different reference trajectories. The simulated trajectories span a range of motion, varying from simple straight paths to complex spiral paths. In order to verify and evaluate the efficacy of the suggested control technique, simulations are performed using MATLAB. The simulations conclusively show that the disturbance observer-based method effectively achieves the tracking of specified reference trajectories in three-dimensional space. The study highlights the effectiveness of the DOBC algorithm in reducing the effects of disturbances and uncertainties, thereby improving the quadcopter’s capacity to accurately track various trajectories.

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Section: Introductionmentioning

confidence: 93%

Enhanced trajectory tracking for quadrotors: disturbance observer state feedback control

Ren,

Wang,

Guan

2024

PeerJ Computer Science

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“…According to the available literature, numerical/approximate methods and analytic methods are reported as powerful tools for the flexural analysis of plates. There exists a substantial literature study dedicated to exploring the dynamic behavior of related structures [4][5][6]. However, accurate flexural solutions, whether from analytic results or numerical/approximate ones, are far from complete.…”

Section: Introductionmentioning

confidence: 99%

New Accurate Flexural Analysis for Different Types of Plates in a Rectangular Sewage Tank by Utilizing a Unified Analytic Solution Procedure

Sun,

Zhang,

Huang

et al. 2024

Buildings

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In the present paper, a modified Fourier series approach is developed for new precise flexural analysis of three different types of concrete plates in a rectangular sewage tank. The bending problems of the bottom plate, side-plate, and the fluid-guiding plate are not easily solved via using the traditional analytic approaches. Based on the Fourier series theory, the present approach provides a unified semi-inverse solving procedure for the above plates by means of choosing three different kinds of Fourier series as the trial functions. Although all the trial functions are quite similar to the classical Navier-form solution, new, precise analytic flexural solutions for plates without Navier-type edge conditions (all edges simply-supported) are achieved, which is mainly attributed to employing the Stoke’s transform technique. For each case, the plate-bending problems are finally altered to deal with linear algebra equations. Furthermore, owing to the orthogonality and completeness of the Fourier series, the obtained solutions perfectly satisfy both the edge conditions and the governing partial differential equation of plates, which paves an easily implemented and rational way for engineers and researchers to provide new, exact designs of plate structures. The main contribution of this study lies in the provision of a unified solution procedure for addressing complex plate-bending problems across diverse boundary conditions. By employing a range of Fourier series types, this approach offers a comprehensive solution framework that accommodates the complexities inherent in plate analysis. The correctness of the present analytic solutions is verified against precise finite element method (FEM) results and ones available in the literature. Finally, the influences of foundation, edge conditions, and aspect ratio on flexural behaviors of plates are discussed in detail.

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“…High-precision flow field data have significant impacts on many areas, such as fluid analysis, weather forecasting, and the optimization design of a flying wing [1]. Reconstructing high-fidelity flow fields represents a significant challenge within the realms of fluid dynamics and computational fluid dynamics (CFDs).…”

Section: Introductionmentioning

confidence: 99%

A Combined Model of Diffusion Model and Enhanced Residual Network for Super-Resolution Reconstruction of Turbulent Flows

Qi,

2024

Mathematics

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In this study, we introduce a novel model, the Combined Model, composed of a conditional denoising diffusion model (SR3) and an enhanced residual network (EResNet), for reconstructing high-resolution turbulent flow fields from low-resolution flow data. The SR3 model is adept at learning the distribution of flow fields. The EResNet architecture incorporates a long skip connection extending from the input directly to the output. This modification ensures the preservation of essential features learned by the SR3, while simultaneously enhancing the accuracy of the flow field. Additionally, we incorporated physical gradient constraints into the loss function of EResNet to ensure that the flow fields reconstructed by the Combined Model are consistent with the direct numerical simulation (DNS) data. Consequently, the high-resolution flow fields reconstructed by the Combined Model exhibit high conformity with the DNS results in terms of flow distribution, details, and accuracy. To validate the effectiveness of the model, experiments were conducted on two-dimensional flow around a square cylinder at a Reynolds number (Re) of 100 and turbulent channel flow at Re = 4000. The results demonstrate that the Combined Model can reconstruct both high-resolution laminar and turbulent flow fields from low-resolution data. Comparisons with a super-resolution convolutional neural network (SRCNN) and an enhanced super-resolution generative adversarial network (ESRGAN) demonstrate that while all three models perform admirably in reconstructing laminar flows, the Combined Model excels in capturing more details in turbulent flows, aligning the statistical outcomes more closely with the DNS results. Furthermore, in terms of L2 norm error, the Combined Model achieves an order of magnitude lower error compared to SRCNN and ESRGAN. Experimentation also revealed that SR3 possesses the capability to learn the distribution of flow fields. This work opens new avenues for high-fidelity flow field reconstruction using deep learning methods.

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Robust optimization design of a flying wing using adjoint and uncertainty-based aerodynamic optimization approach

Cited by 41 publications

References 23 publications

Enhanced trajectory tracking for quadrotors: disturbance observer state feedback control

Enhanced trajectory tracking for quadrotors: disturbance observer state feedback control

New Accurate Flexural Analysis for Different Types of Plates in a Rectangular Sewage Tank by Utilizing a Unified Analytic Solution Procedure

A Combined Model of Diffusion Model and Enhanced Residual Network for Super-Resolution Reconstruction of Turbulent Flows

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