首页> 外文会议>IEEE International Conference on Smart Instrumentation, Measurement and Application >Hybrid PSO-Tuned PID and Hysteresis-Observer Based Control for Piezoelectric Micropositioning Stages
【24h】

Hybrid PSO-Tuned PID and Hysteresis-Observer Based Control for Piezoelectric Micropositioning Stages

机译:压电微定位平台的混合PSO调整PID和基于磁滞观测器的控制

获取原文

摘要

Piezo-actuated micropositioning stages consist of a piezoelectric actuator that operates a positioning system. Hysteresis nonlinearity is one of the significant variables limiting the positioning precision of these stages. This paper introduces a technique of developing a hybrid controller for a precise positioning tracking of a piezoelectric micropositioning system. Bouc-Wen nonlinear hysteresis model is utilized to denote the hysteresis nonlinear phenomenon of the piezo-actuated system. A hysteresis observer-based feedforward controller is designed based on Luenberger observer. This feedforward controller is then coupled with a particle swarm optimization (PSO)-based proportional-integral-derivative (PID) feedback controller to form a hybrid controller. A new fitness function is used to compute the optimal PID gains. This fitness function is intended to reduce the overshoot, steady-state error, and the rise and settling times. The findings of this work indicate that using the developed controller structure can significantly decrease the hysteresis effect. In addition, the proposed structure shows the ability to reduce the error is to 0.046% of the maximum displacement range. Such performance demonstrates that the proposed hybrid control structure is efficient for precise micropositioning applications.
机译:压电致动微型定位平台由一个压电致动器组成,该致动器操作定位系统。磁滞非线性是限制这些级的定位精度的重要变量之一。本文介绍了一种开发用于精确定位压电微定位系统的混合控制器的技术。 Bouc-Wen非线性磁滞模型用于表示压电驱动系统的磁滞非线性现象。基于Luenberger观测器设计了基于磁滞观测器的前馈控制器。然后,将该前馈控制器与基于粒子群优化(PSO)的比例积分微分(PID)反馈控制器耦合,以形成混合控制器。新的适应度函数用于计算最佳PID增益。该适应功能旨在减少过冲,稳态误差以及上升和稳定时间。这项工作的发现表明,使用开发的控制器结构可以显着降低磁滞效应。此外,所提出的结构显示出将误差减小到最大位移范围的0.046%的能力。这样的性能表明,提出的混合控制结构对于精确的微定位应用是有效的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号