Identification for Piezoelectric Smart Materials Based on Neural Networks Method

被引：0
|
作者：
Liu Yanmei [1 ]
Chen Zhen [2 ]
Xue Dingyu [2 ]
机构：
[1] Shenyang Inst Aeronaut Engn, Dept Automat, Shenyang, Peoples R China
[2] Northeastern Univ, Sch Informat Sci & Engn, Shenyang, Peoples R China
来源：
2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 2 | 2010年
关键词：
Preisach hysteresis model; Artificial Neural Networks; identifying; non-linear; POLYMER-METAL COMPOSITES; HYSTERESIS;
D O I：
10.1109/ICACC.2010.5486712
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on the static Preisach hysteresis model of Piezoelectric Smart Materials, the technology of Artificial Neural Networks is applied for the hysteresis modeling of Piezoelectric Smart Materials. The BP network is chosen as the method of identifying the non-linear hysteresis sysytem. Adopting this method one sample's hysteresis model is built. The results have shown that this method is correct and effective.
引用
收藏
页码：608 / 611
页数：4
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