%0 Journal Article
%T Parameters setting of PID controller based on adaptive immune evolutionary algorithms<br>基于免疫进化算法的PID参数整定
%A HE Hong
%A QIAN Feng
%A <br>何宏
%A 钱锋
%J 计算机应用
%D 2007
%I 
%X A New Adaptive Immune Evolutionary Algorithm(NAIEA) was proposed in this paper according to regulatory mechanism of the immune network in biological immune system.NAIEA chose the stimulation level as the selection pressure for the antibodies.Moreover,the adaptive population control strategy and new elitist strategy were also devised to improve the performance of genetic algorithm.The simulation results of the setting of PID parameters show that NAIEA can effectively prevent the loss of the population adversity,and the performance of PID controller based on NAIEA is superior to that of PID controller based on genetic algorithm.
%K PID control
%K immune network
%K genetic algorithm
%K parameter optimization<br>PID控制
%K 免疫网络
%K 遗传算法
%K 参数优化
%K 免疫进化算法
%K 参数整定
%K evolutionary
%K algorithms
%K immune
%K adaptive
%K based
%K PID
%K controller
%K 控制器性能
%K 基于遗传算法
%K 设计
%K 有效保持
%K 结果
%K 控制器参数的整定
%K 应用
%K 精英保留策略
%K 记忆机理
%K 控制方法
%K 种群数
%K 选择压
%K 激励水平
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=6B22ED67EB61232E7E2D7E4BEC4B787A&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=94C357A881DFC066&sid=CA21EE48F5BB8E19&eid=2613941CBDF71B5D&journal_id=1001-9081&journal_name=计算机应用&referenced_num=9&reference_num=8