一种基于混沌蚂蚁群算法的系统参数辨识方法  

Parameter identification for control systems based on chaotic ant swarm algorithm

作　　者：祝洪宇[1] 贾朱植[1] 

机构地区：[1]辽宁科技大学电子与信息工程学院,鞍山114051

出　　处：《信息技术》2009年第5期79-81,共3页Information Technology

摘　　要：提出了一种基于混沌蚂蚁群算法的控制系统辨识方法,这种方法在给定控制系统数学模型的条件下,将控制系统的参数辨识问题转化为参数的寻优问题,之后利用混沌蚂蚁群算法的全局优化搜索能力对问题进行求解。以典型控制系统为例进行了计算机仿真,实验结果表明,使用混沌蚂蚁群算法可以得到很好的参数估计结果。In this paper, a new control systems identification method based on chaotic ant swarm algorithm is put forward. This method converts the problem of parameter estimation of the control system to a problem of parameter optimization which could be solved via chaotic ant swarm algorithm on condition that control systems mathematical model is known. Chaotic ant swarm algorithm has the ability of global search. The simulation results show that the proposed method is effective in parameter estimation of the chaotic system. A numerical simulation on the well-known control system is conducted. The simulation results show that the proposed method is effective in parameter estimation of the control system.

关 键 词：混沌蚂蚁群算法 参数辨识 全局优化搜索 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]