Control system of electrostatic levitation based on high-speed vision

Dong-yang CHEN; Qing-yuan GUO; Wen-bo DONG; Huan HE; Jian-ding YU; Dong-wei ZHANG; Xue-feng LIANG

doi:10.3788/OPE.20192711.2343

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Control system of electrostatic levitation based on high-speed vision

Micro/Nano Technology and Fine Mechanics | 更新时间：2020-08-13

- Control system of electrostatic levitation based on high-speed vision
- Optics and Precision Engineering Vol. 27, Issue 11, Pages: 2343-2353(2019)
- 作者机构：
  
  1.中国科学院空间应用工程与技术中心中国科学院空间应用重点实验室，北京 100094
  2.中国科学院大学，北京 100049
  3.中国科学院上海硅酸盐研究所高性能陶瓷和超微结构国家重点实验室，上海 200050
  4.北京国科环宇科技股份有限公司，北京 100080
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20192711.2343
  CLC： TP273;TP391.41
- Received：20 June 2019，
  
  Accepted：21 August 2019，
  
  Published：15 November 2019
- 稿件说明：
移动端阅览
Dong-yang CHEN, Qing-yuan GUO, Wen-bo DONG, et al. Control system of electrostatic levitation based on high-speed vision[J]. Optics and precision engineering, 2019, 27(11): 2343-2353.
DOI：

Dong-yang CHEN, Qing-yuan GUO, Wen-bo DONG, et al. Control system of electrostatic levitation based on high-speed vision[J]. Optics and precision engineering, 2019, 27(11): 2343-2353. DOI： 10.3788/OPE.20192711.2343.

摘要

静电悬浮是一种无接触式研究材料深过冷等特性的重要方法之一，为此设计了一套地面静电悬浮控制系统。基于双GPU建立图像采集和位置解算系统，使用实时检测算法完成对目标的实时检测。对样品带电以及动力学建模，通过开环-赋初值PID的控制策略，实现材料的融化悬浮等实验，省去了深紫外灯进行电荷补充的装置。实验证明，图像处理速度在304×304像素达到了700 frame/s，同时规则球体控制精度约在±0.02 mm以内。模型仿真控制结果和实际实验控制结果的相关参数基本一致。加入900 V(该电压引起材料的加速度约为1.274 m/s

)的人工扰动下，静电悬浮约340 ms即可稳定，证明了基于高速视觉的静电悬浮控制系统的可行性与可靠性和静电悬浮动力学建模的准确性。

Abstract

Electrostatic levitation is one of the most important methods used to study the properties of materials without having to collide them against the wall of a chamber. A dynamic

ground electrostatic levitation control system model is designed and built using two Graphics Processing Units (GPUs) to process the image sequence and calculate the position of the material. In addition

a real-time detection algorithm is proposed for quick real-time visual detection of the targets. The melting experiment of the material is realized with an open-loop and Proportional-Integral-Derivative (PID) controller. This eliminates the charge supplement device of the deep ultraviolet lamp

and an image processing speed of 700 frames per second at the resolution of 304 pixels × 304 pixels and control precision of approximately ±0.02 mm are achieved. Furthermore

the relevant parameters concerning the control effects between the simulation model and experiments are consistent. For a disturbance of 900 V

which causes the acceleration of the material to reach approximately 1.274 m/s

the system can stabilize in 340 ms. Therefore

the feasibility and reliability of an electrostatic levitation control system based on high-speed vision and the accuracy of its dynamic model were proved.

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Keywords

references

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