摘要
针对一种翼展为550mm的电动力微型无人机的优化设计问题,对粒子群优化算法进行了改进,弥补了原来算法当最优解在设计变量上下限边界时无法找到最优解的缺陷,然后对电动力无人机的电池容量的优化选取进行了探讨,最后对该机进行了研制和试飞。由试飞结果可知,该机的留空时间为68min,与优化计算结果十分相近,证明了优化计算结果的可行性和高精度。
An improvement was made over the basic particle swarm optimization algorithm (PSO) in this paper to solve the optimization problem of a micro air-vehicle with a wing span of 550 mm. The results of optimization showed that the improvement was successful. Then the relationship between the volume of the battery and the performance of electrical powered aircraft was discussed. We also built and tested the mini-UAV. This plane achieved an endurance of 68 minutes and the results of test flights proved the effectiveness and high accuracy of the optimization.
出处
《飞行力学》
CSCD
2004年第2期61-64,共4页
Flight Dynamics
关键词
粒子群优化算法
遗传算法
变复杂度的优化计算方法
微型无人机
particle swarm optimization algorithm
genetic algorithm
variable fidelity optimization technique
micro air vehicle
