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基于改进GA算法辨识三轴飞行仿真转台模型

Three axis Flight Simulator Model Identification Using an Improved Genetic Algorithm
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摘要 在理论分析的基础上建立了三轴飞行仿真转台机理模型,利用改进的遗传算法得到了降阶模型,并依据先验知识,在不同工况条件下利用改进的遗传算法对外框模型进行离线闭环辨识,得到了由10个外框模型构成的模型集合,最后,在模型集合的基础上,利用改进的遗传算法提取出了外框系统的标称模型。仿真结果表明了该系统模型建立方法的有效性。 Firstly,the theoretic model of three axis flight simulator is established, and the reduced order model is obtained by using an improved genetic algorithms (IGA).Secondly,with the priori knowledge and by using the IGA,the outer frame model is identified under closed loop condition,and a model set with ten outer frame models is achieved under different condition.Finally,by utilizing the IGA,the outer frame nominal model is obtained based on the model set.Simulation results show the effectiveness of the method of establish system model.
作者 徐洪泽
机构地区 北京交通大学
出处 《机械与电子》 2005年第2期60-64,共5页 Machinery & Electronics
基金 国家"八六三"计划资助项目(2003AA404 04)
关键词 飞行仿真转台 闭环辨识 模型集 遗传算法 flight simulator closed loop identification model set genetic algorithm
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