一种基于自适应遗传算法的测控设备布站优化方法

The Optimization Method of Measuring and Control Equipment Layout Based on Adaptive Genetic Algorithm

测控设备布站优化是靶场外弹道试验方案设计的重要内容。围绕测控设备布站优化问题,讨论了基于交会测量精度的目标函数设计,并从设备跟踪精度、逆光精度等5个方面构建了约束方程。在此基础上,利用遗传算法对模型进行求解,阐述了基本遗传算法存在的问题,并采用自适应调整策略对遗传算法进行了改进。通过模型验证分析,提高了测量精度,为解决测控设备布站优化问题提供了一种新思路。

The layout optimization of measurement and control equipment is an important part of the design of ballistic test scheme.Focusing on the layout optimization of measurement and control equipment,the target function design is discussed based on the intersection measurement accuracy,and the constraint equation is constructed from the five aspects.On this basis,the genetic algorithm is used to solve the model,the problems of the basic genetic algorithm are described,and the adaptive adjustment strategy is used to improve the genetic algorithm.Through the model verification and analysis,the measurement accuracy is improved,which provides a new way to solve the problem of layout optimization of measurement and control equipment.