[1]胡春龙,申浩宇.堆垛机神经网络PID控制系统研究[J].机械与电子,2018,(03):32-35.
　HU Chunlong,SHEN Haoyu.Research on Control System for Stacking Crane Based on Neural Network PID[J].Machinery & Electronics,2018,(03):32-35.
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堆垛机神经网络PID控制系统研究
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2018年03期
页码:
32-35
栏目:
机电一体化技术
出版日期:
2018-03-24

文章信息/Info

Title:
Research on Control System for Stacking Crane Based on Neural Network PID
文章编号:
1001-2257(2018)03-0032-04
作者:
胡春龙; 申浩宇
(陕西国防工业职业技术学院,陕西 西安 710300)
Author(s):
HU Chunlong;  SHEN Haoyu
(Shaanxi Institute of Technology, Xi'an 710300, China)
关键词:
DSP;  堆垛机;  BP神经网络;  PID
Keywords:
DSP;  stacking crane;  BP neural network;  PID
分类号:
TP273; TP29
文献标志码:
A
摘要:
针对立体仓库在可利用的空间资源和对资源的综合管理上的优势,提出了一种以DSP为控制器的堆垛机神经网络PID控制方法,自动完成并实现堆垛机系统x-y-z轴上3个电机的执行动作。通过神经网络PID与传统PI的切换,配合红外传感技术,提高了电机的运行效率,实现了对仓库位置的精确定位。对系统进行了仿真,仿真结果表明,系统运行可靠,动静态性能良好,具有较高稳定性。
Abstract:
Stereoscopic warehouse can manage the available space and resources comprehensively, based on which, a DSP-based PID control method for stacker neural network was proposed in this paper. It can automatically perform and complete the action on the three motors on the x-y-z axis of the stacking crane. Through the switch between the neural network PID and the traditional PI, the operation efficiency of the motor was improved with infrared sensing technology, and the position of the warehouse was precisely located. The simulation results show that the system can be operated reliably with good performance and high stability.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2017-11-22
作者简介：胡春龙（1988-），男，陕西西安人，助教，研究方向为机电一体化技术。
更新日期/Last Update: 2018-03-24