粒子群优化算法在无人机设计中的应用

Particle Swarm Optimization Algorithm and its Application in Design Optimization of the UAV

介绍了基本粒子群优化算法的思想、步骤,针对其有时会出现粒子在最优解附近"振荡"的现象,使用加入惯性权重因子的复合粒子群优化算法来对无人机(UAV)进行优化设计.最后以意大利研制成功的喷气无人机(米拉奇-100)为例对该算法进行了验算和仿真.由结果可知,该机的实际起飞重量与优化结果十分相似,证明了优化计算的可行性和高精度.

This paper introduces the principle and process of the basic particle swarm optimization algorithm （PSO）. We use the multiple PSO which plus the inertia weigh w to design the unmanned aerial vehicle （UAV）, because the particles sometime surge about optimum solution. In the end of the paper we use a kind of UAV （ Mirache - 100） made in Italy to prove and simulate the algorithm. Simulation result shows that the result of the optimization is resemble to the practice, and the algorithm is feasible, reasonable and of high precision.