Hysteresis Compensation of MSMA Actuators Based on Neural Network Model

Hua Wei Ji; Mao Na Liu; Xiao Ping Hu

doi:10.4028/www.scientific.net/KEM.609-610.1260

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 609-610Hysteresis Compensation of MSMA Actuators Based on...

Hysteresis Compensation of MSMA Actuators Based on Neural Network Model

Abstract:

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.

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Periodical:

Key Engineering Materials (Volumes 609-610)

Pages:

1260-1265

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.609-610.1260

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Online since:

April 2014

Authors:

Hua Wei Ji*, Mao Na Liu, Xiao Ping Hu

Keywords:

Compensation, Hysteresis, Magnetic Shape Memory Alloys, PID Control

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* - Corresponding Author

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