基于粒子群优化算法的模糊飞行控制器设计  

The Fuzzy Flight Controller Design Based on Particle Swarm Optimization Algorithm

作　　者：孙逊[1] 章卫国[1] 尹伟[1] 李爱军[1] 

机构地区：[1]西北工业大学自动化学院,西安710072

出　　处：《弹箭与制导学报》2007年第2期132-133,共2页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：提出了一种基于粒子群优化(PSO)算法的模糊飞行控制器优化设计方法。PSO算法通过粒子跟踪本身所找到的最优解和种群的最优解来完成优化,该算法具有可调参数少,简单易实现,优化速度快的特点。将PSO算法用于对模糊飞行控制器隶属函数的优化设计中,以达到提高控制效果与简化模糊控制器设计的目的。仿真结果表明,利用PSO算法进行优化设计所得到的模糊飞行控制器具有优良的控制性能。A fuzzy flight controller design method based on particle swarm optimization （PSO） algorithm is presented in this paper. The PSO algorithm completes the optimization by the personal best value and the global best value. This algorithm has few parameters need to be tuned, is easy and its optimization velocity is fast. In order to increase the control effect and simplify the design of fuzzy flight controller, the PSO algorithm is used to optimize the membership function of the fuzzy flight controller. The simulation results show that the fuzzy flight controller optimized by the PSO algorithm has excellent control effect.

关 键 词：粒子群优化算法 模糊控制 飞行控制 

分 类 号：TJ765.2[兵器科学与技术—武器系统与运用工程]