一种PFSM动态迟滞非线性特征的建模方法

Modeling Method for Dynamic Hysteresis Nonlinear Characteristics of PFSM

分析了PFSM的迟滞非线性特性和蠕变特性对控制精度的影响,提出将XGBoost模型应用于PFSM的动态迟滞非线性特征建模。通过提取PFSM的加压历史特征,有效地解决了迟滞非线性中数据一对多的问题,提取的特征包括电压的电压值、变化频率、变化方向、电压增量、历史局部极大值与局部极小值和时间间隔等。仿真结果表明,此模型可以对迟滞非线性特性和蠕变特性有较好的拟合效果,相对于静态PI模型,拟合精度提高了约40μrand。同时具有模型参数容易识别、易移植到嵌入式芯片等优点。该动态迟滞非线性特征建模方法有理论意义和实用价值。

The effects of hysteresis nonlinear characteristics and creep characteristics of PFSM on control accuracy are analyzed.The XGBoost model is applied to the dynamic hysteresis nonlinear feature modeling of PFSM.By extracting the voltage history characteristics of PFSM,the problem of one-to-many data in hysteresis nonlinearity is effectively solved.The extracted features include voltage of voltage value,frequency of change,direction of change,voltage increment,historical local maximum and local minimum values and time intervals,etc.The simulation results show that the model has good fitting effect on hysteresis nonlinearity and creep characteristics,and the fitting precision is increased by about 40μrand compared with the static PI model.At the same time,it has the advantages of easy identification of model parameters and easy transplantation to embedded chip.The dynamic hysteresis nonlinear feature modeling method has theoretical significance and practical value.