火力与指挥控制2009，Vol.34Issue(10)：145-148,4.
基于混合遗传算法优化的制导炸弹BP网络PID控制器
The BP Networks PID Controller Optimized for a Guided Bomb based on Hybrid Genetic Algorithm
摘要
Abstract
With traditional PID method the physical signification is explicit and parameters can be briefly adjusted, while its need for precise linear model can hardly acquire satisfying control result for modern process control object is nonlinear, time-variant and interfere-uncertain. The PID controller is designed for a guided bomb(GB) with hybrid genetic algorithm, which is to optimize the back propagation weigh coefficient of the BP networks. After the algorithm is produced, the example of a GB's portrait channel controller is designed and simulated. The result shows that the target is attacked accurately and the controller is robust.关键词
制导炸弹/BP神经网络/混合遗传算法/PID控制器Key words
guided bomb(GB)/ANN with BP/hybrid genetic algorithm/PID controller分类
军事科技引用本文复制引用
孙瑞胜,胡锐,梁卓,薛晓中..基于混合遗传算法优化的制导炸弹BP网络PID控制器[J].火力与指挥控制,2009,34(10):145-148,4.基金项目
南京理工大学科研发展基金资助项目(XKF05031) （XKF05031）
