Hysteresis characteristics modeling of piezoelectric actuator by gradient boosting least-squares support vector regression
WANG Jian-cheng
LI Qiang-ya
LIU Tao
TAN Yong-hong
YAN Shuai
Abstract：Concerning the problem of hysteresis effect related to piezoelectric actuators used for precise motion posi-tioning,a modeling method is proposed based on the gradient boosting least-squares support vector regression(GB-LSSVR).Firstly,an expanded input space is constructed by introducing a hysteretic operator,such that the multi-valued mapping of hysteresis is transformed into a one-to-one mapping.Then the hysteresis model is established based on the GB-LSSVR,of which the parameters are optimized by the guaranteed convergence particle swarm optimization(GCPSO)algorithm.Finally,the proposed method is applied to practically predict the displacement of a piezoelectric actuator.The re-sults show that the proposed method could obtain more accurate result compared to the classical algorithms of least-squares support vector regression and truncated least-squares support vector regression.
Keywords：piezoelectric actuatorhysteresis effecthysteretic operatorleast-squares support vector machineguaran-teed convergence particle swarm optimizationgradient boosting
Publication Date：2024-09-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1692-1697 )