Modeling and Control of Rate-Dependent Hysteresis for PEA with MPI Model-Based Hammerstein System

Author(s):  
Yongxin Guo ◽  
Gang Sun ◽  
Yufeng Wang ◽  
Jianqin Mao
2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Ping Liu ◽  
Zhen Zhang ◽  
Jianqin Mao

The rate-dependent hysteresis in giant magnetostrictive materials is a major impediment to the application of such material in actuators. In this paper, a relevance vector machine (RVM) model is proposed for describing the hysteresis nonlinearity under varying input current. It is possible to construct a unique dynamic model in a given rate range for a rate-dependent hysteresis system using the sinusoidal scanning signals as the training set input signal. Subsequently, a proportional integral derivative (PID) control scheme combined with a feedforward compensation is implemented on a giant magnetostrictive actuator (GMA) for real-time precise trajectory tracking. Simulations and experiments both verify the effectiveness and the practicality of the proposed modeling and control methods.


Author(s):  
Mohammad Keshmiri ◽  
Ali Fellah Jahromi ◽  
Abolfazl Mohebbi ◽  
Mohammad Hadi Amoozgar ◽  
Wen-Fang Xie

2013 ◽  
Vol 668 ◽  
pp. 406-409
Author(s):  
Qing Song Liu ◽  
Zhen Zhang ◽  
J.Q. Mao

A rate-dependent hysteresis model for Giant Magnetostrictive Actuator (GMA) is proposed based on Hammerstein model structure. The Generalized Prandtl-Ishlinskii (GPI) model is used to represent nonlinear block in Hammerstein model. The validity of model is examined by comparsion between simulation results and experimental data. Based on the proposed model, a PID feedback controller combined with an inverse compensation in the feedforward loop is used for tracking control. Experimental results show that the control strategy is effective.


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