Parameters Identification of Nonlinear DC Motor Model Using Compound Evolution Algorithms

被引：0
|
作者：
Cong, Shuang [1 ]
Li, Guodong [1 ]
Feng, Xianyong [1 ]
机构：
[1] Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
来源：
WORLD CONGRESS ON ENGINEERING, WCE 2010, VOL I | 2010年
基金：
美国国家科学基金会;
关键词：
genetic algorithms; simplex method; global optimization; parameters identification; nonlinear friction; GENETIC ALGORITHM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The genetic algorithms (GA) with global optimization character and the simplex method are combined and used into the application of the parameter identification. The nonlinear dynamic model of an actual DC motor including the nonlinear friction torque is established. By means of the compound evolution algorithms proposed, the detail procedure of the all parameters identification in the DC motor with actual system's input-output data are given. The effectiveness of identification is verified by the comparison between actual system values and model's in the different situations including the motor running in the dead zone, saturated zone and linear zone, respectively.
引用
收藏
页码：15 / 20
页数：6
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