Hybrid control method for hysteresis non-linearity of magnetically controlled shape memory actuator
by M.L. Zhou; W. Gao; F. Liu
International Journal of Materials and Product Technology (IJMPT), Vol. 44, No. 1/2, 2012

Abstract: In order to eliminate the hysteresis non-linearity between the input and output of the magnetically controlled shape memory alloy (MSMA) actuator and improve the control accuracy, a hybrid control method is proposed. The proposed hybrid control method consists of two parts: a hysteresis inverse model feedforward controller and a neural network feedback controller. According to the hysteresis non-linearity between the input and output of MSMA actuator, a double sigmoid function (double S function) and a four layer feedforward neural network are used to establish the hysteresis model of MSMA actuator. With the same method, the hysteresis inverse model is established. A three layer feedforward neural network is used in the feedback controller. The experimental results show that the proposed control method can effectively improve the output accuracy of the MSMA actuator.

Online publication date: Wed, 17-Sep-2014

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