• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2010, Vol. 32 ›› Issue (7): 120-122.doi: 10.3969/j.issn.1007130X.2010.

• 论文 • 上一篇    下一篇

基于改进遗传算法的压力控制系统参数求解及仿真

王曙霞,朱三元,涂俊英   

  1. (孝感学院计算机与信息科学学院,湖北 孝感 432000)
  • 收稿日期:2009-05-18 修回日期:2009-08-26 出版日期:2010-06-25 发布日期:2010-06-25
  • 通讯作者: 王曙霞
  • 作者简介:王曙霞(1975),女,湖北荆门人,硕士,讲师,研究方向为网络安全与智能计算;朱三元,硕士,讲师,研究方向为数据库与人工智能;涂俊英,硕士,讲师,研究方向为人工智能。

Parameter Solving of a Hydraulic Pressure ControlSystem  and the Simulation Based on Improved GA

WANG Shuxia,ZHU Sanyuan,TU Junying   

  1. (School of Computer and Information Science,Xiaogan University,Xiaogan  432000,China)
  • Received:2009-05-18 Revised:2009-08-26 Online:2010-06-25 Published:2010-06-25
  • Contact: WANG Shuxia

摘要:

本文针对遗传算法的特点,在隔代映射遗传算法基础上引入自适应策略,建立了自适应遗传算法数学模型,给出了具体算法流程。通过自适应策略,使IP_GA中的交叉、变异概率能够根据函数适应度大小自动调节,提高了收敛速度及解的质量。通过该算法对液压压力系统传递函数进行参数求解,建立了液压系统的开环模型。利用Matlab/Simulink工具对开环模型进行仿真并与实测输出曲线对比,验证了遗传算法求解液压伺服系统参数的可行性。同时,通过分析仿真结果,找出了材料试验机比例压力控制系统与伺服压力控制系统在辨识方法上的差别。

关键词: 遗传算法, 自适应策略, Simulink, 控制系统, 系统辨识

Abstract:

A model of GA is given in this paper.As for the feature of GA, a selfadapting policy is drawn into mapped GA, and a mathematical model is provided.Meanwhile, a specific algorithm flowchart is given. Through the selfadapting scheme, the probability of cross and variation can be automatically adjusted  by the fit degree; the convergence speed and the quality of results are increased. The parameters of the system transfer function are achieved by this method, and an open loop model is developed. By comparing the simulation results of the open loop and the actual testing curves of the system, the possibility of using GA to gain the system parameters of hydraulic servo system is proved. Meanwhile, by analyzing the simulation results, the differences of the identification methods are found on the material testing machine's proportional and servo pressure control systems.

Key words: genetic algorithm;selfadapting plot;Simulink;control system;system