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Adaptive sliding mode control of piezoelectric tube actuator with hysteresis, creep and coupling effect

机译:具有滞后,蠕变和耦合效应的压电管执行器的自适应滑模控制

摘要

The piezoelectric tube actuator of Atomic Force Microscope (AFM) realizes rapid scanning in nano-scale. However, hysteresis, creep and coupling effect of piezoelectric tube actuator significantly limit the precision of AFM. In this paper, an adaptive sliding mode controller is proposed to minimize the tracking error due to the adverse effects. The piezoelectric tube actuator is characterized as a multiple-input-multiple-output (MIMO) nonlinear time-varying system because of hysteresis and creep. The controller is designed based on the reduced order nonlinear finite element (FE) model. Hysteresis is divided into a linear part and a bounded time-varying unknown part to reduce the bound of the uncertainties. The latter part together with creep and electrode dislocation is considered as bounded uncertainty. The controller gains of the equivalent control part are estimated through adaptive laws. The sliding mode observer is designed based on Walcott Zak observer for estimating the unmeasurable states. Lyapunov criterion is stated to guarantee the stability of the closed loop system. The simulation of the piezoelectric tube actuator with the adaptive sliding mode controller is performed under scanning operation. The result shows that the tracking errors are bounded in small values. Finally, the performance of the adaptive sliding mode controller is compared with the output feedback controller and the proportional-integral (PI) controller which is commonly adopted in AFM.
机译:原子力显微镜(AFM)的压电管执行器实现了纳米级的快速扫描。然而,压电管致动器的磁滞,蠕变和耦合效应大大限制了AFM的精度。在本文中,提出了一种自适应滑模控制器以最小化由于不利影响而引起的跟踪误差。由于磁滞和蠕变,压电管致动器被表征为多输入多输出(MIMO)非线性时变系统。该控制器是基于降阶非线性有限元(FE)模型设计的。磁滞分为线性部分和有界的时变未知部分,以减少不确定性的范围。后者与蠕变和电极错位一起被认为是有限的不确定性。等效控制部分的控制器增益通过自适应定律估算。滑模观测器是基于Walcott Zak观测器设计的,用于估计不可测量的状态。说明了Lyapunov准则,以确保闭环系统的稳定性。使用自适应滑模控制器对压电管执行器进行仿真是在扫描操作下进行的。结果表明跟踪误差被限制在较小的值内。最后,将自适应滑模控制器的性能与AFM中通常采用的输出反馈控制器和比例积分(PI)控制器进行了比较。

著录项

  • 作者

    Chung SH; Fung EHK;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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