基于ALO的半导体封装XY工作台智能模糊PD控制器设计

Z. A. Karam, Shahad S. Ghintab, Aymen M. Al-Kadhimi
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引用次数: 1

摘要

计算机数控(CNC)机器导致释放行业在一个快速的方式,特别是在过去的几十年。其中一种数控结构是半导体封装的二维(XY)运动工作台。这些机器所做的加工在定位阶段是相当精确的。(XY)表具有非线性模型,这种非线性模型是由电气部件和运动摩擦部件共同引起的,从而导致定位过程不准确。提出了两种智能模糊逻辑控制器(FLC),用于控制(XY)表非线性模型的运动位置。第一个控制器是模糊比例导数类pd - FLC,第二个控制器是带转发增益的反馈模糊类pd - FLC。蚁狮优化器(ALO)将使用基于成本函数的最优控制器增益,该函数给出最小稳定时间、上升时间和适当超调的最小控制信号特征。结果表明,与以往的文献相比,所提出的控制器通过控制信号特性得到了增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Fuzzy PD Controllers Design for XY Table of Semiconductor Packaging Based on ALO
Computer numerical control (CNC) machines have resulted in releasing the industry in a fast way, especially in the last decades. One of those CNC structures is the two-dimension (XY) motion table of semiconductor packaging. The type of process that is done by these machines is quite precise in positioning stage. The (XY) table has a nonlinear model which is caused by both of the electrical parts and the motion friction parts, and that leads to making the positioning process inaccurate. This paper presents two intelligent fuzzy logic controllers (FLC) that are used in controlling the motion position of the (XY) table nonlinear model. The first controller is the fuzzy proportional derivative PD-like FLC and the second is feedback fuzzy PD-like FLC with forwarding gain. The Ant-Lion Optimizer (ALO) will use to obtain optimal controllers gains based on cost function which gives minimum control signal characteristics of a minimum settling time, rise-time and proper overshoot. Results show enhancement in the proposed controllers via control signal characteristics compared with the previous works in literature.
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