Parameters Identification of Passive Force Control System Based on Genetic Algorithm

被引：2

作者：

Zhang Biao ^{[1
]}

Dong Yanliang ^{[1
]}

Zhao Keding ^{[1
]}

Sun Fengying ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Mechatron Engn, Harbin 150001, Peoples R China

来源：

PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 3 | 2008年

关键词：

Genetic algorithm; Parameters identification; Passive force control system;

D O I：

10.1109/CHICC.2008.4605088

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Using upper and lower bounds of the parameters a genetic algorithm parameters identification method is proposed. First the mathematical model structure of passive force control system is built, then searching the best parameter values between the upper and lower bounds of the parameters using genetic algorithm method with the goal that under the inputs of system the output approximates the output of experiments. At last use another group of experiments data to test the efficiency of the identification parameters. The result shows that the identification parameters can approximate the real system well. This identification method can be used in the parameters identification of complex dynamic system.

引用

页码：230 / 233

页数：4

共 4 条

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