[1]牛德奎,周燕飞,罗福源.电子封装模具恒温控制系统的设计与实现[J].机械与电子,2016,(11):62-65.
 NIU Dekui,ZHOU Yanfei,LUO Fuyuan.Design and Implementation of Constant Temperature Control System in Electronic Packaging Mould[J].Machinery & Electronics,2016,(11):62-65.
点击复制

电子封装模具恒温控制系统的设计与实现
分享到:

《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2016年11期
页码:
62-65
栏目:
自动控制与检测
出版日期:
2016-11-20

文章信息/Info

Title:
Design and Implementation of Constant Temperature Control System in Electronic Packaging Mould
作者:
牛德奎周燕飞罗福源
(南京航空航天大学机电学院,江苏 南京 210016)
Author(s):
NIU DekuiZHOU YanfeiLUO Fuyuan
(College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
关键词:
温度控制Smith预估器模糊自适应PID
Keywords:
temperature control Smith predictor fuzzy adaptive PID
分类号:
TP29;TP273
文献标志码:
A
摘要:
针对温度控制系统的纯滞后的特点,根据电子封装模具温度精确控制的需要,提出了基于Smith预估器和模糊自适应PID控制器的温度控制系统的设计方法。首先,根据阶跃响应建立被控对象的数学模型,然后在被控对象的数学模型的基础上设计出Smith预估器;其次,建立Mamdani模糊模型,实时对增量PID控制器的3个参数进行修正;最后,实现电子封装温度控制的硬件系统和软件系统的设计。该设计解决了纯滞后对控制系统稳定性的不良影响,大大提高了温度控制的精度,并且基于此种方法的硬件系统和软件系统也易于实现,可靠性高,鲁棒性好。
Abstract:
By analyzing the pure time-delay of temperature control system, the design method of the temperature control system based on the Smith predictor and the fuzzy adaptive PID controller was proposed to meet the requirements for precise temperature control of the electronic packaging mould. Firstly, the mathematical model of the controlled object was established, and then the Smith predictor was designed based on the mathematical model; secondly, the Mamdani fuzzy model was established, and the three parameters of the incremental PID controller were modified in real time; finally, the hardware and the software system of electronic packaging temperature control were designed. This design method can effectively overcome the pure time-delay on the control system stability and greatly improve the precision of temperature control. It is easy to build the hardware and software system based on this kind of method which is feasible and reliable.

参考文献/References:

[1]余昌源.电加热锅炉温度控制系统的设计及实现[D].呼和浩特:内蒙古大学,2014.
[2]宋冬萍.智能温度测控系统的研究与设计[D].苏州:苏州大学,2010.
[3]Gerry J. How to control process with large dead time[J].Control Engineering,1998,45(3):145-146.
[4]Smith O J M. A controller to overcome dead time[J].ISA Transactions,1959,6(2):43-47.
[5]刘明鑫.时滞系统控制方法的研究[D].北京:北京化工大学,2009.
[6]刘金琨.先进PID控制MATLAB仿真[M].2版.北京:电子工业出版社,2004.
[7]李国勇.神经模糊控制理论及应用[M].北京:电子工业出版社,2009.
[8]石辛民,郝整清.模糊控制及其MATLAB仿真[M].北京:清华大学出版社,2008.
[9]张会敏,何永义.Fuzzy-PID算法在炉温控制中的应用[J].自动化与仪器仪表,2002(3):31-34.
[10]刘金琨.智能控制[M].2版.北京:电子工业出版社,2009.

相似文献/References:

[1]刘 斌1,龙健宁1,吴晟霖1,等.基于 ATmega2560的金属FDM 打印设备控制系统设计[J].机械与电子,2020,(05):13.
 ,,et al.Design of Control System for Metal FDM Printing Equipment Based on Mega2560[J].Machinery & Electronics,2020,(11):13.
[2]李文武,陈佳楠.基于微热板的加热控温集成电路设计[J].机械与电子,2021,(04):23.
 LI Wenwu,CHEN Jianan. Temperature Control Integrated Circuit Design Based on MHP[J].Machinery & Electronics,2021,(11):23.
[3]陈艳芳.禽蛋工业化腌制温度控制方法设计[J].机械与电子,2021,(06):52.
 CHEN Yanfang.Design of Temperature Control Method for Industrialized Curing of Poultry Eggs[J].Machinery & Electronics,2021,(11):52.
[4]张会珍,孙 琦,王立杰,等.基于径向基神经网络的半导体激光器温度自抗扰控制[J].机械与电子,2025,(09):40.
 ZHANG Huizhen,SUN Qi,WANG Lijie,et al.Temperature Rejection Control of Semiconductor Laser Based on Radial Basis Neural Network[J].Machinery & Electronics,2025,(11):40.

备注/Memo

备注/Memo:
收稿日期:2016-08-29
作者简介:牛德奎 (1989-),男,山东聊城人,硕士研究生,研究方向为自动化控制装备技术;周燕飞(1963-),男,湖南益阳人,教授,研究方向为机电一体化技术、复杂系统设计技术等。
更新日期/Last Update: 2016-11-25