基于Pareto遗传算法的风力机翼型多点优化设计

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以CST方法参数化翼型,利用XFOIL软件计算翼型的气动性能参数,采用基于非支配排序的NSGA-II遗传算法进行翼型的多点优化设计,研究变风速、变风向情况下风力机翼型高升阻比的设计问题。变风速情况下的多点优化设计表明风力机翼型的转捩性质对于性能有重要影响;变风向情况下的多点优化设计表明,将设计迎角取在失速迎角附近,可提高失速迎角,改善风力机翼型性能。 The airfoil parameters were calculated by CST method and the aerodynamic performance parameters were calculated by XFOIL software. The non-dominated sorting NSGA-II genetic algorithm was used to optimize the airfoil multi-point design. The wind turbine Type of high resistance ratio design issues. The multi-point optimization design under variable wind speeds shows that the turning nature of wind turbine airfoils has an important influence on the performance. The multi-point optimization design under varying wind directions shows that the designed attack angle can be increased near the stall angle of attack Angle to improve airfoil performance.
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