基于遗传算法的小型旋转弹控制器参数优化  

Optimization of Small Rolling Missile Controller Parameters Using Genetic Algorithms

作　　者：张海涛[1] 郭百巍[1] 黎海青[1] 龙思佳[1] 

机构地区：[1]北京理工大学宇航学院,北京100081

出　　处：《系统仿真学报》2009年第S2期75-78,共4页Journal of System Simulation

摘　　要：提出了一种基于遗传算法的小型旋转弹控制器参数优化设计方法。设计了制导控制回路的变系数超前校正控制器,在简要阐述遗传算法的机理及实现的基础上,将遗传算法应用于控制器参数的优化,优化时选用了三种不同的目标函数。仿真结果表明了遗传算法应用于控制器参数优化的可行性和有效性。An optimization design of small rolling missile controller parameter based on genetic algorithms was developed.The variable coefficients controller in guidance loop was designed.After briefly introducing the principle and implementation method of genetic algorithms,the control parameters were optimized by using genetic algorithms.The simulation results meet the requirements in all three different objective functions.Then the best objective function and optimal parameters were determined by comparing the results.

关 键 词：小型旋转弹 变系数超前校正 参数优化 遗传算法 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]