›› 2012, Vol. ›› Issue (03): 714-718.

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Hysteresis model of magnetic shape memory alloy actuator

ZHOU Miao-lei, GAO Wei, GAO Lin-lin, LIU Fu   

  1. College of Communication Engineering, Jilin University, Changchun 130022, China
  • Received:2011-04-07 Online:2012-05-01

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Abstract: In order to solve the hysteresis nonlinearity of magnetic shape memory alloy actuator, a hysteresis model that utilizes the principle of the PI model is proposed. This model is composed of a number of simple linear operators called linear-play operators. As the structure of the model is similar to the structure of the neural network, the method for training the weight of neural network is introduce. In order to improve the real-time characteristic of the control system, forgetting factor recursive least-squares algorithm is adopted to train the weight of the model. Experimental results demonstrate that the modeling error is 0.0015 mm, mean-square deviation is 2.2931?10-4, and the maximal error rate is 0.1593%. The proposed modeling method is effective and could obtain higher accuracy.

Key words: automatic control technology, magnetic shape memory alloy, PI model, hysteresis nonlinearity

CLC Number: 

  • TP13
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