Hybrid control method for hysteresis non-linearity of magnetically controlled shape memory actuator

作者：Zhou M L^*; Gao W; Liu F

来源：International Journal of Materials and Product Technology, 2012, 44(1-2): 77-91.

DOI：10.1504/IJMPT.2012.048195

• magnetically controlled shape memory alloy actuator
• hysteresis
• neural network
• hybrid control
• inverse model

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 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.

• 出版日期2012
• 单位吉林大学