[1]雷翔霄,唐春霞.基于自适应模糊PID算法的镀液温度控制[J].电镀与精饰,2021,(8):35-38.[doi:10.3969/j.issn.1001-3849.2021.08.008]
　LEI Xiangxiao,TANG Chunxia.Bath Temperature Control System Based on Adaptive Fuzzy PID[J].Plating & Finishing,2021,(8):35-38.[doi:10.3969/j.issn.1001-3849.2021.08.008]
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基于自适应模糊PID算法的镀液温度控制()

《电镀与精饰》[ISSN:1001-3849/CN:12-1096/TG]

卷:
期数:
2021年8
页码:
35-38
栏目:
出版日期:
2021-08-16

文章信息/Info

Title:
Bath Temperature Control System Based on Adaptive Fuzzy PID
作者:
雷翔霄1; 2; 唐春霞1
1.长沙民政职业技术学院 电子信息工程学院， 湖南 长沙 410004； 2.湖南大学 电气与信息工程学院， 湖南 长沙 410082
Author(s):
LEI Xiangxiao1; 2; ;  TANG Chunxia1
1.Electronic Information Engineering School， Changsha Social Work College， Changsha 410004， China；　2.College of Electrical and Information Engineering， Hunan University， Changsha 410082， China
关键词:
电镀; PID算法; 自适应; 温度控制
Keywords:
electroplating PID algorithm adaptive temperature control
DOI:
10.3969/j.issn.1001-3849.2021.08.008
文献标志码:
A
摘要:
鉴于镀液温度具有时变性、非线性和滞后性等特点，为满足电镀生产工艺要求，实现对镀液温度的准确控制，设计了电镀槽液的温度控制系统。采用自适应模糊算法，在线优化PID算法。在Matlab中仿真实验表明，当外界干扰来临时，自适应模糊PID控制算法能快速的整定出最优PID参数，并使系统达到较好的控制效果。实际应用表明：当镀液目标温度为45 ℃，自适应模糊PID算法具有良好的控温效果，系统运行稳定，稳态精度小于±1 ℃，可满足电镀工艺要求。
Abstract:
In view of the time-varying, nonlinear and hysteresis characteristics of the plating bath temperature, in order to meet the requirements of the electroplating production process and realize the accurate control of the plating bath temperature, a temperature control system for the plating bath was designed. Adaptive fuzzy algorithm was used to optimize PID algorithm on line. The simulation experiment in MATLAB showed that the adaptive fuzzy PID control algorithm could quickly adjust the optimal PID parameters when the external interference came, and made the system achieve better the control effects. The practical application showed that when the target temperature of the bath was 45 ℃, the self-adaptive fuzzy PID algorithm had a good temperature control effect, the system ran stably and the steady-state accuracy was less than 1 ℃, which could meet the requirements of electroplating process.

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备注/Memo

备注/Memo:
收稿日期： 2020-04-21；修回日期： 2020-06-06
作者简介： 雷翔霄（1974-- ），男，博士生、副教授，研究方向：智能控制、优化算法与高职教育研究；E-mail：305444938@qq.com
基金项目： 湖南省职业院校教育教学改革研究项目（ZJGB2019002）；国家自然科学基金（51677063）资助项目
更新日期/Last Update: 2021-08-10