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半导体制造中晶圆搬运机器人的运动控制与晶圆定心算法研究

Research on Motion Control and Wafer-Centering Algorithm of Wafer-Handling Robot in Semiconductor Manufacturing.

作者信息

Han Bing-Yuan, Zhao Bin, Sun Ruo-Huai

机构信息

College of Information and Electrical Engineering, China Agricultural University, Beijing 110819, China.

SIASUN Robot & Automation Co., Ltd., Shenyang 110168, China.

出版信息

Sensors (Basel). 2023 Oct 16;23(20):8502. doi: 10.3390/s23208502.

Abstract

This paper studies the AWC (Active Wafer Centering) algorithm for the movement control and wafer calibration of the handling robot in semiconductor manufacturing to prevent wafer surface contact and contamination during the transfer process. The mechanical and software architecture of the wafer-handling robot is analyzed first, which is followed by a description of the experimental platform for semiconductor manufacturing methods. Secondly, the article utilizes the geometric method to analyze the kinematics of the semiconductor robot, and it decouples the motion control of the robot body from the polar coordinates and joint space. The wafer center position is calibrated using the generalized least-square inverse method for AWC correction. The AWC algorithm is divided into calibration, deviation correction, and retraction detection. These are determined by analyzing the robot's wafer calibration process. In conclusion, the semiconductor robot's motion control and AWC algorithm are verified through experiments for correctness, feasibility, and effectiveness. After the wafer correction, the precision of AWC is <± 0.15 mm, which meets the requirements for transferring robot wafers.

摘要

本文研究了用于半导体制造中搬运机器人运动控制和晶圆校准的主动晶圆定心(AWC)算法,以防止在传输过程中晶圆表面接触和污染。首先分析了晶圆搬运机器人的机械和软件架构,随后描述了半导体制造方法的实验平台。其次,文章利用几何方法分析了半导体机器人的运动学,并将机器人本体的运动控制从极坐标和关节空间中解耦出来。使用广义最小二乘逆方法对晶圆中心位置进行校准以进行AWC校正。AWC算法分为校准、偏差校正和缩回检测。这些是通过分析机器人的晶圆校准过程确定的。总之,通过实验验证了半导体机器人的运动控制和AWC算法的正确性、可行性和有效性。晶圆校正后,AWC的精度<±0.15毫米,满足搬运机器人晶圆的要求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a67/10611260/8eecec94617b/sensors-23-08502-g005.jpg

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