多水平法垂直起降无人机机翼优化设计

Hao Yue, D. Bassir, H. Medromi, Hua Ding, K. Abouzaid
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引用次数: 3

摘要

为了克服固定翼(FW)和垂直起降(VTOL)无人机的固有缺点,扩大其应用范围,近年来研究人员加大了对混合动力无人机的投入,并在双系统方面发展了几种分类。本文提出并研究了一种新型混合动力无人机,该无人机采用鸭翼结构与传统三角翼结合,并结合小翼结构。利用计算流体力学(CFD)和响应面法(RSM),提出了一种针对巡航飞行模式的多级优化方法:采用基于经验的分配策略,将总升力目标分别分配给三角翼(90-95%)和鸭翼(5-10%),并进行两步优化:在求解第一次优化问题时,只考虑三角翼的相关参数,然后依次进行第二次优化,得到考虑优化三角翼概念的鸭翼构型。首先,在巡航模式下以较小的阻力实现升力目标,从而实现三角翼和鸭翼的最佳概念设计。
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Optimal design of Vertical-Taking-Off-and-Landing UAV wing using multilevel approach
In order to overcome the propre disadvantages of FW(Fixed-Wing) and VTOL(Vertical-Taking-Off-and-Landing) UAV (Unmanned Aerial Vehicle) and extend its application, the hybrid drone is invested more in recent years by researchers and several classifications are developed on the part of dual system. In this article, an innovative hybrid UAV is raised and studied by introducing the canard configuration that is coupled with conventional delta wing as well as winglet structure. Profited by Computational Fluid Dynamics (CFD) and Response Surface Method (RSM), a multilevel optimization approach is practically presented and concerned in terms of cruise flight mode: adopted by an experienced-based distribution strategy, the total lift object is respectively assigned into the delta wing (90–95%) and canard wing(5–10%) which is applied into a two-step optimization: the first optimization problem is solved only with the parameters concerned with delta wing afterwards the second optimization is successively concluded to develop the canard configuration considering the optimized delta wing conception. Above all, the optimal conceptual design of the delta and canard wing is realized by achieving the lift goal with less drag performance in cruise mode.
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来源期刊
CiteScore
2.00
自引率
0.00%
发文量
19
审稿时长
16 weeks
期刊介绍: The International Journal for Simulation and Multidisciplinary Design Optimization is a peer-reviewed journal covering all aspects related to the simulation and multidisciplinary design optimization. It is devoted to publish original work related to advanced design methodologies, theoretical approaches, contemporary computers and their applications to different fields such as engineering software/hardware developments, science, computing techniques, aerospace, automobile, aeronautic, business, management, manufacturing,... etc. Front-edge research topics related to topology optimization, composite material design, numerical simulation of manufacturing process, advanced optimization algorithms, industrial applications of optimization methods are highly suggested. The scope includes, but is not limited to original research contributions, reviews in the following topics: Parameter identification & Surface Response (all aspects of characterization and modeling of materials and structural behaviors, Artificial Neural Network, Parametric Programming, approximation methods,…etc.) Optimization Strategies (optimization methods that involve heuristic or Mathematics approaches, Control Theory, Linear & Nonlinear Programming, Stochastic Programming, Discrete & Dynamic Programming, Operational Research, Algorithms in Optimization based on nature behaviors,….etc.) Structural Optimization (sizing, shape and topology optimizations with or without external constraints for materials and structures) Dynamic and Vibration (cover modelling and simulation for dynamic and vibration analysis, shape and topology optimizations with or without external constraints for materials and structures) Industrial Applications (Applications Related to Optimization, Modelling for Engineering applications are very welcome. Authors should underline the technological, numerical or integration of the mentioned scopes.).
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