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]
基于自适应模糊PID算法的镀液温度控制
- Title:
- Bath Temperature Control System Based on Adaptive Fuzzy PID
- 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.
参考文献/References:
[1] 雷钰,闫莹雪,田晓东.电流密度和施镀温度对铝合金表面Ni-SiC-MoS2复合镀层显微组织的影响[J]. 表面技术, 2018, 47(2): 231-235.
Lei Y, Yan Y X, Tian X D. Effects of current density and plating temperature on microstructure of Ni-SiC-MoS2 composite coatings on aluminum alloy [J]. Surface Technology, 2018, 47(2): 231-235 (in Chinese).
[2] 陈波,彭倚天.电镀时的温度和电流密度对铬-石墨烯复合镀层摩擦磨损行为的影响[J]. 电镀与涂饰, 2018, 37(11): 473-479.
Chen B, Peng Y T. Effects of temperature and current density during electroplating on friction and wear behavior of chromium-graphene composite coating [J]. Electroplating & Finishing, 2018, 37(11): 473-479 (in Chinese).
[3] 徐竟天,张甜甜,程瑞洲,等.基于S7-300 PLC的电镀恒温控制系统设计[J]. 电镀与涂饰, 2015, 34(12): 690-695.
Xu J T, Zhang T T, Cheng R Z. Design of constant-temperature control system for electroplating based on S7-300 PLC [J]. Electroplating & Finishing, 2015, 34(12): 690-695 (in Chinese).
[4] 孙华,苑瑞林.自动化电镀生产线温度总控系统设计[J]. 电镀与环保,2017,37(4):68-71.
Sun H, Yuan R L. Design of temperature control system of automatic electroplating production line [J]. Electroplating & Pollution Control, 2017, 37(4): 68-71 (in Chinese).
[5] 李素敏,滕俊杰.基于改进PID算法的镀铬槽液温度控制系统设计[J]. 电气传动,2019,49(9):64-67.
Li S M, Teng J J. Design of temperature control system for chromium bath based on improved PID algorithm [J]. Electric Drive, 2019, 49(9): 64-67 (in Chinese).
[6] 韩团军,韦平平,黎高峰.基于FPGA的高精度半导体激光器温度控制系统设计[J]. 激光杂志, 2018, 39(9): 47-50.
Han T J, Wei P P, Li G F. Design of high precision semiconductor laser temperature control system based on FPGA [J]. Laser Journal, 2018, 39(9): 47-50 (in Chinese).
[7] 徐立娟,雷翔霄.自适应模糊PID算法在软化击穿试验仪温度控制中的应用[J]. 高技术通讯, 2019, 29(11): 1104-1109.
Xu L J, Lei X X. Applied adaptive fuzzy PID in the temperature control system of softening breakdown tester [J]. Chinese High Technology Letters, 2019, 29(11): 1104-1109 (in Chinese).
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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