基于混合遗传算法的压气机叶型自动优化设计

推进技术 ›› 2006, Vol. 27 ›› Issue (4): 349-353.

基于混合遗传算法的压气机叶型自动优化设计

金东海,展昭,桂幸民

北京航空航天大学能源与动力工程学院北京100083;北京航空航天大学能源与动力工程学院北京100083;北京航空航天大学能源与动力工程学院北京100083

发布日期:2021-08-15
基金资助:
国家自然科学基金资助项目(50136010,50076001)

Automatic design optimization of compressor blades based on hybrid genetic algorithm

School of Jet Propulsion,Beijing Univ.of Aeronautics and Astronautics,Beijing 100083,China;School of Jet Propulsion,Beijing Univ.of Aeronautics and Astronautics,Beijing 100083,China;School of Jet Propulsion,Beijing Univ.of Aeronautics and Astronautics,Beijing 100083,China

Published:2021-08-15

摘要/Abstract

摘要： 基于实数编码的自适应遗传算法与复合形法相结合,构成了自动优化设计所应用的混合遗传算法。与自适应遗传算法相比,混合遗传算法的局部搜索能力得到增强,运行效率有明显提高。压气机叶型定义采用的是Bezier函数参数化定义方法。该方法可以较好的拟合叶型曲线,并通过较少控制点的调节灵活有效地修正叶型。气动数值模拟采用的是基于求解二维N-S方程的CFD程序。对NACA叶型的正问题数值优化结果表明以混合遗传算法为基础的优化设计平台是十分有效的。

关键词: 压气机;混合遗传算法~+;复合形法~+;叶型;优化设计

Abstract: One of the hybrid genetic algorithms applied in automatic design optimization has been estab-lished by combining a real-number encoded self-adaptive genetic algorithm with complex method.The introduction of complex method has notably improved the capability of local search.Compare with self-adaptive genetic algorithm,the hybrid genetic algorithm(HGA) has much higher efficiency.Having few control points,but allowing flexible manipulation,the Bezier representation was chosen to describe the compressor blade elements.The numerical simulation was carried out by a CFD code based on solution of two dimensional N-S equations.The optimization result for certain NACA airfoil demonstrates that the developed platform based on HGA is effective and efficient.

Key words: Compressor;Hybrid genetic algorithm~+;Complex method;Blade;Optimum design

金东海,展昭,桂幸民. 基于混合遗传算法的压气机叶型自动优化设计[J]. 推进技术, 2006, 27(4): 349-353.