A neural networks based model for rate-dependent hysteresis for piezoceramic actuators

作者：Dong, Ruili; Tan, Yonghong^*; Chen, Hui; Xie, Yangqiu

来源：Sensors and Actuators A: Physical , 2008, 143(2): 370-376.

DOI：10.1016/j.sna.2007.11.023

• rate-dependent hysteresis
• identification
• generalized gradient
• neural networks
• piezoceramic actuator

A method for the identification of the rate-dependent hysteresis in piezoceramic actuators is proposed. In this approach, both a so-called generalized gradient of the output with respect to the input of the hysteresis and the derivative of the input that represents the frequency change of the input are introduced into the input space. Then an expanded input space is established. Thus, the multi-valued mapping of the rate-dependent hysteresis can be transformed into a one-to-one mapping based on the expanded of the input space. In this case, the neural network method can be applied to the modeling of the rate-dependent hysteresis. Finally, the experimental results are presented to illustrate the performance of the proposed approach.

• 出版日期2008-5-16
• 单位上海交通大学; 桂林电子科技大学; 电子科技大学; 西安电子科技大学