机械与电子2024，Vol.42Issue(4)：22-28,7.
基于改进遗传算法的导弹稳定控制参数自寻优方法研究
Research on Self-optimizing Method of Missile Stability Control Parameters Based on Improved Genetic Algorithm
摘要
Abstract
The design of missile stability control parameters is a multi-parameter combination optimi-zation problem,aiming at the problem that the design of missile stability control parameters depends on de-signer's engineering experience and may not be able to obtain the combinatorial optimization of controller parameters in the global scope,a self-optimizing design method based on improved genetic algorithm is studied.The randomness of genetic algorithm makes individual more diversification,and makes it have the ability to search out global optimal solution,but at the same time,the random operation will exclude the optimal individuals of parent from the population with a certain probability.In this paper,randomness of genetic algorithm is improved,while a degree of certainty is increased by introducing a deterministic factor,and the convergence rate to optimal solution is improved finally.The improved genetic algorithm is applied to parameter's self-optimizing design of a certain missile stability control loop,the simulation results of six degrees of freedom are satisfactory,which verifies the correctness and feasibility of the method.关键词
改进遗传算法/确定性因子/导弹稳定控制/参数自寻优Key words
improved genetic algorithm/deterministic factor/missile stability control/parameters self-optimizing分类
信息技术与安全科学引用本文复制引用
高宏建,陈霖周廷,胡建兴,苏小东,汪阳生,王文举..基于改进遗传算法的导弹稳定控制参数自寻优方法研究[J].机械与电子,2024,42(4):22-28,7.基金项目
贵州省基金基础研究计划(自然科学)项目(黔科合基础-ZK[2022]一般172、一般182) （自然科学）
贵州省教育厅普通本科高校青年科技人才成长项目(黔教合KY字[2022]350号、349号) （黔教合KY字[2022]350号、349号）
贵州理工学院高层次人才引进科研启动项目(XJGC20190610) （XJGC20190610）
