Krasnosel'skii-Pokrovskii Hysteresis Model for Magnetic Shape Memory Alloy Actuator

被引：0
|
作者：
Zhou Miaolei [1 ]
Han Tingting [1 ]
Zhang Qi [1 ]
机构：
[1] Jilin Univ, Coll Commun Engn, Changchun 130022, Peoples R China
来源：
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年
关键词：
Magnetic shape memory alloy actuator; hysteresis nonlinearity; BP algorithm; Krasnosel'skii-Pokrovskii model; adaptive linear neural network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Magnetic shape memory alloy actuator have hysteresis characteristics, in order to describe the hysteresis nonlinearity of magnetic shape memory alloy actuator and study the methods of eliminating the hysteresis nonlinearity of magnetic shape memory alloy actuator, the Krasnosel'skii-Pokrovskii (KP) model is firstly established in this paper. Secondly, BP neural network and adaptive linear neural network are applied to identify the density functions of the KP model respectively. Finally, it is obtained that the modeling accuracy of the KP model is 0.37% by BP algorithm and the modeling accuracy of the KP model based on adaptive linear neural network is 0.19% through the simulation results, which prove that the KP model can characterize the hysteresis nonlinearity of magnetic shape memory alloy actuator.
引用
收藏
页码：2206 / 2211
页数：6
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