摘要
以低雷诺数二维大攻角翼型绕流为研究对象,将非定常动边界计算流体力学方法与最优控制方法有机结合,研究二维不可压非定常流智能物面最优自适应流动控制的理论与算法,并将其用于固定攻角和俯仰振荡翼型绕流.结果表明:在给定合适的最优控制目标函数下,智能物面可最优地实时改变形状,得到能显著提高翼型性能的最优翼型.最优翼型在非设计工况下的气动性能也比对照翼型有所提高.
Combined with the moving boundary CFD method, the authors developed a new real-time optimal control strategy which can be used to adaptively change the shapes of body surface to improve aerodynamics properties. For airfoils with fixed angle of attack and under pitching motion, the results show that with the new method, the aerodynamics properties of the optimized airfoil can be improved remarkably, and the aerodynamics characteristics of the optimized airfoil at different angles of attack are all superior than the original airfoil.
出处
《力学学报》
EI
CSCD
北大核心
2005年第6期764-768,共5页
Chinese Journal of Theoretical and Applied Mechanics
基金
中国科学院力学研究所非线性力学国家重点实验室国家自然科学基金(10172095)资助项目.~~
关键词
最优控制
智能物面
动边界
大攻角
翼型
绕流
非定常分离
optimal control, smart surface, moving boundary, large angle of attack, airfoil, flow around, unsteady flow separation