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炮射导弹控制系统的多目标二级优化设计
引用本文:谢晓竹,刘藻珍.炮射导弹控制系统的多目标二级优化设计[J].北京理工大学学报,2008,28(10):875-879.
作者姓名:谢晓竹  刘藻珍
作者单位:北京理工大学,宇航科学技术学院,北京,100081;北京理工大学,宇航科学技术学院,北京,100081
摘    要:建立了炮射导弹多目标二级优化模型,提出了多目标二级混合遗传优化算法.对第一级多目标函数引入Lagrange乘子向量作为协调变量,采用两级递阶协调法实现多目标的第一级优化;针对遗传算法局部优化性能较差的缺点,将遗传算法与模式搜索法相结合,采用改进的遗传算法实现了多目标的第二级优化.仿真结果表明,所提出的多目标二级混合遗传优化算法收敛速度快,所设计的控制系统性能优于基于权重系数变换法的遗传算法的效果.

关 键 词:导弹制导控制系统  多目标二级优化  混合遗传优化算法
收稿时间:2007/11/8 0:00:00

Design of Multi-Objective Bi-Level Optimization about theControl System of Gun-Launched Missile
XIE Xiao-zhu and LIU Zao-zhen.Design of Multi-Objective Bi-Level Optimization about theControl System of Gun-Launched Missile[J].Journal of Beijing Institute of Technology(Natural Science Edition),2008,28(10):875-879.
Authors:XIE Xiao-zhu and LIU Zao-zhen
Institution:School of Aerospace Science and Engineering, Beijing Institute of Technology, Beijing 100081, China;School of Aerospace Science and Engineering, Beijing Institute of Technology, Beijing 100081, China
Abstract:Multi-objective bi-level optimization model for the control system of gun-launched missile is discussed.A bi-level hybrid genetic optimization algorithm for multi-objective is presented to solve the control of gun-launched missiles.First,by introduceing a Lagrange multiplier vector,the first-level model is optimized based on a hierarchical optimal.Then,combining the genetic algorithm to the pattern search,the second-level model is optimized.Simulation experiments showed that this hybrid genetic optimization algorithm,when compared to the known genetic algorithm,had faster convergence and the optimized control system of the gun-launched missile can track the maneuvered acceleration more accurately and rapidly.
Keywords:guidance and control system of gun-launched missile  multi-objective bi-level optimization  hybrid genetic algorithm
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