基于6σ设计的复合推力高速直升机总体参数多目标优化

针对复合推力高速直升机总体设计阶段总体参数的选择问题,提出一种提高可靠性和鲁棒性的基于6σ设计的改进多目标遗传算法优化方法。采用叶素理论和数值积分的方法分析计算了复合推力高速直升机气动及飞行性能,并以此为基础建立了约束函数和初步目标函数模型;将6σ设计融入改进的多目标遗传算法中,构造最终目标函数;在给定有效载荷设计要求下,对复合推力高速直升机总体参数进行了多目标优化设计。该方法获得了所需的Pareto解,优化后的复合推力高速直升机飞行性能相对原机有了较大改善,算例结果表明该方法有效可行。

Multiobjective Optimization of Gerneral Parameters of High-Speed Compound Helicopter Based on Design for 6σ

A novel multiobjective optimization algorithm for the parameters decision problem is proposed to find the best design project of high-speed compound helicopter. The new algorithm can improve reliability and robust of the result using improved genetic algorithm based on design for 6σ. The aerodynamic performances of high-speed compound helicopter are computed through numerical integral method based on blade element theory and dynamic inflow theory, so the constraint functions and the preliminary objective functions are built. Design for 6σ is combined into improved genetic algorithm and final objective functions are established. The multiobjective optimization design for high-speed compound helicopter general parameters is carried out with given payload. Pareto solution set is gained through the optimization method, and result indicates that the method is feasible and efficient.