Intelligent Modeling for Hysteresis Nonlinearity in Piezoceramic Actuator

A major limitation of piezoceramic actuators is their lack of accuracy due to the hysteresis nonlinearity which can result in the degradation of system performance and even lead to instability.A hysteresis factor wasproposed to transform the multi-valued mapping of hysteresis into a one-to-one mapping which enabled neural networks to approximate the behavior of hysteresis.The proposed model based on neural networks has a simple architecture and simplifies identification procedure.Results illustrate that the proposed method can approximate the hysteresis nonlinearity accurately.