Hysteresis model of magnetic shape memory alloy actuator

作者：Zhou Miao Lei^*; Gao Wei; Gao Lin Lin; Liu Fu

来源：Journal of Jilin University (Engineering and Technology Edition), 2012, 42(3): 714-718.

• Automatic control technologies
• Forgetting factors
• Hysteresis models
• Hysteresis nonlinearity
• Linear operators
• Magnetic shape memory alloys
• Maximal error
• Mean square deviation
• Modeling errors
• Real time characteristics
• Recursive least squares algorithms

n 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.

• 出版日期2012