Design and Control of Genetic Algorithm-based Multi-station LED chip Waxing Machine

被引：0

作者：

Sun, Xiangyu ^{[1
]}

Zhang, Yingchun ^{[1
]}

Wang, Zuoxun ^{[1
]}

Hao, Tao ^{[1
]}

机构：

[1] Qilu Univ Technol, Sch Elect Engn & Automat, Jinan, Peoples R China

来源：

ENERGY AND POWER TECHNOLOGY, PTS 1 AND 2 | 2013年 / 805-806卷

关键词：

LED chip; waxing machine; genetic algorithm;

D O I：

10.4028/www.scientific.net/AMR.805-806.1856

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Based on the existing LED (light emitting diode) chip waxing machine running in single-station serial mode, a multi-station LED chip waxing machine was designed which made creative improvements on the revolving platform of the waxing machine. Working efficiency was greatly increased with multi-station continuous parallel working mode. The control system used genetic algorithm-based PM (proportion integration differentiation) control to precisely control the revolving platform and all the manipulators, so that the waxing machine would carry out the fully automated assembly line work.

引用

页码：1856 / 1860

页数：5