微型飞行器的优化设计研究

A Study on the Design Optimization of Micro Air Vehicles

介绍了翼展为320mm的电动力微型飞机的一体化优化设计方法,优化设计的目标是飞机的留空时间。为求出全局最优解,选择遗传算法作为优化算子,同时采用了变复杂度的优化计算方法提高设计计算效率,然后进行了优化灵敏度分析,并根据分析结果提出了微型飞机的一般设计准则。

An optimization design of an electrical-motor-powered micro air vehicle with a wing span of 320 mm is presented in this paper. The objective of optimization is its endurance. Genetic optimization algorithm is used as the primary optimizer. To reduce the number of aerodynamics analysis and to promote the efficiency of optimization, the variable fidelity optimization technique is used. The post-optimality analysis is performed and a general design rule for micro air vehicles (MAVs) is proposed according to the analysis. Our MAV has currently achieved an endurance of 20 minutes and a maximum range of 12 km. The result of test flight shows that the optimization plays a key role in the improvement of the MAV performance.