微纳操纵成像系统自适应模糊PI控制器设计

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英文篇名：Design of Adaptive Fuzzy PI Controller for Micro-nano Manipulated Imaging System 作者：王一帆 ; 赵庆旭 ; 王盼 ; 吴文鹏 ; 胡贞 英文作者：WANG Yi-fan;ZHAO Qing-xu;WANG Pan;WU Wen-peng;HU Zhen;School of Electronic Information Engineering, Changchun University of Science and Technology; 关键词：微纳操纵成像系统 ; PI控制 ; 自适应模糊PI控制 英文关键词：micro-nano manipulated imaging system;;PI control;;adaptive fuzzy PI control 中文刊名：DGKQ 英文刊名：Electronics Optics & Control 机构：长春理工大学电子信息工程学院; 出版日期：2019-04-01 出版单位：电光与控制 年：2019 期：v.26;No.250 基金：吉林省自然科学基金(201554) 语种：中文; 页：DGKQ201904022 页数：5 CN：04 ISSN：41-1227/TN 分类号：110-114

摘要

在传统PI控制微纳操纵成像系统的基础上实现参数实时在线调整。为了获得更好的控制效果,进行了自适应模糊PI控制的微纳操纵成像系统仿真研究。运用探针与样品之间原子力保持不变的原理对微纳操纵成像系统动态过程进行建模,加入模糊PI控制模块,建立了一套完整的系统仿真平台。设计了一种自适应模糊PI控制器,该控制器通过对电压值的误差和误差变化的判断进行模糊化推理,实现对控制参数的实时在线整定,以达到优化控制的目的;同时,利用Matlab进行仿真研究。结果表明,自适应模糊PI控制算法比传统PI控制算法能有效地改善系统的动态性能和稳态性能。
        Based on the traditional PI control micro-nano manipulated imaging system, the parameters can be online adjusted in real time. In order to obtain better control effects, the simulation of the micro-nano manipulated imaging system of adaptive fuzzy PI control is studied. The principle that the atomic force between the probe and the sample remains unchanged is used, the dynamic process of the micro-nano manipulated imaging system is modeled, and the fuzzy PI control module is added to establish a complete system simulation platform. An adaptive fuzzy PI controller is designed, which can adjust the control parameters online in real time by the fuzzy reasoning of the voltage error and error variations, so as to optimize the control process. At the same time, Matlab is used for simulation. The results show that the adaptive fuzzy PI control algorithm can improve the dynamic and steady-state performance of the system more effectively than the traditional PI control algorithm.

引文

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