Hysteresis Compensation of MSMA Actuators Based on Neural Network Model

In the Precision control industry, Due to a strong hysteresis characteristics of MSMA actuators between input and output , the positioning accuracy of the drive have been affected seriously, and its wider application limited.In order to improve the positioning accuracy of MSMA actuators, to eliminat...

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Bibliographic Details
Published in:Key engineering materials 2014-04, Vol.609-610, p.1260-1265
Main Authors: Ji, Hua Wei, Hu, Xiao Ping, Liu, Mao Na
Format: Article
Language:English
Subjects:
Accuracy
Actuators
Compensation
Control systems
Control theory
Hysteresis
Neural networks
Proportional integral derivative
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Summary:In the Precision control industry, Due to a strong hysteresis characteristics of MSMA actuators between input and output , the positioning accuracy of the drive have been affected seriously, and its wider application limited.In order to improve the positioning accuracy of MSMA actuators, to eliminate or reduce the hysteresis characteristic,in this paper ,hysteresis compensation for MSMA actuators is proposed ,three methods like traditional PID feedback ,and feed-forward compensation ,and composite control with PID and feed-forward compensation ,these three methods are compared . results show that the composite control has better control performance,the MSMA actuators control accuracy kept in 0.8% range.
ISSN:1013-9826
1662-9795
1662-9795
DOI:10.4028/www.scientific.net/KEM.609-610.1260