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出 处:《应用数学和力学》2006年第8期947-953,共7页Applied Mathematics and Mechanics
基 金:国家自然科学基金资助项目(10502043)
摘 要:在气动外形优化中,采用近似模型管理结构(AMF)方法,对变可信度模型进行组织和管理.这样能够充分利用低可信度模型,将主要计算量集中在低可信度模型的优化迭代过程中.同时,采用高可信度模型监控优化过程,使最终的优化解收敛到高可信度模型上.最后,设计了零阶变可信度气动特性优化管理结构与搜索算法,对某飞翼型无人机的翼型进行了气动优化.优化外形的气动性能与初始外形比有所提高.实际结果表明所提出的方法具有良好的可行性和适用性.For aerodynamic shape optimization, the approximation management framework (AMF) method was used to organize and manage the variable-fidelity models. The method can take full advantage of the low-fidelity, cheaper models to concentrate the main workload on the low-fidelity models in optimization iterative procedure. Furthermore, it can take high-fidelity, more expensive models to monitor the procedure to make the method globally convergent to a solution of high-fidelity problem. Finally, zero order variable-fidelity aerodynamic optimization management framework and algorithm were demonstrated on an airfoil optimization of UAV with a flying wing. Compared with the original shape, the aerodynamic performance of the optimal shape is improved. The results show the method has good feasibility and applicability.
分 类 号:V221.3[航空宇航科学与技术—飞行器设计] O221[理学—运筹学与控制论]
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