陈学松(教授)

硕士生导师

所在单位:数学与统计学院

性别:男

在职信息:在职

学科:计算数学
运筹学与控制论
应用数学

当前位置: 中文主页 >> 科学研究 >> 论文列表

Model reference adaptive control with adjustable gain for piezoelectric actuator

点击次数:

DOI码:10.1016/j.ejcon.2022.100712

发表刊物:European Journal of Control

关键字:Piezoelectric actuator; Model reference adaptive control; Adaptive gain; Convergence; Stability analysis

摘要:In this paper, a model reference adaptive control with adjustable gain is investigated to reduce the nonlinear hysteresis effect of piezoelectric actuator. Firstly, the unknown system dynamics of piezoelectric actuator are described based on Bouc-Wen model. By linearizing the nonlinear hysteresis effect, the corresponding reference model is designed to track the output error. Then, the stability and robustness of the model reference adaptive control system is ensured by the Lyapunov stability theorem. In addition, an iteration adjustment rule is proposed to improve the convergence rate of the tracking error. Finally, the simulation results of the proposed control are compared with the traditional PID control and other model reference adaptive control. The results demonstrate that the proposed method has a faster convergence speed and smaller error range.

合写作者:Wenkun Chen

第一作者:Jianfeng Sun

论文类型:期刊论文

通讯作者:Xuesong Chen

卷号:67:

页面范围:100712

是否译文:

发表时间:2022-09-01

收录刊物:SCI

发布期刊链接:https://doi.org/10.1016/j.ejcon.2022.100712

附件:

  • EJCON-2022-published.pdf

  • 上一条: Conjugate gradient-based iterative algorithm for solving generalized periodic coupled Sylvester matrix equations 下一条: A global convergent semi-smooth Newton method for semi-linear elliptic optimal control problem