Design of temperature control system for burn-in test based on fuzzy adaptive PID control algorithm

被引：0
|
作者：
Duan, Yuhe [1 ]
Ji, Haoyue [1 ]
Sun, Xiaodong [1 ]
Tian, Wenchao [2 ]
Cui, Hao [2 ]
机构：
[1] CKS Integrated Circuit Co Ltd, Microsystems Ctr, Wuxi, Jiangsu, Peoples R China
[2] Xidian Univ, Xian, Peoples R China
来源：
2022 23RD INTERNATIONAL CONFERENCE ON ELECTRONIC PACKAGING TECHNOLOGY, ICEPT | 2022年
关键词：
SIP; aging; temperature contro; fuzzy adaptive PID;
D O I：
10.1109/ICEPT56209.2022.9873275
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to make the accuracy of temperature control of SIP chips in the aging test not affected by external interference and mathematical models, a paste-adaptive PID temperature control system suitable for the aging test of SIP chips was designed. By analyzing the influence of the changes of the two input variables of temperature deviation and deviation change rate on the aging test temperature, a fuzzy control rule table is established. The influence of control performance is completed, and the simulation and field debugging of the entire fuzzy adaptive PID temperature control scheme are completed. The test results show that the temperature control effect of the burn-in test based on the fuzzy adaptive PID control algorithm is 31.25% higher than that of the conventional PID control algorithm, and the anti-interference performance is improved by 66.6%.
引用
收藏
页数：6
相关论文
共 50 条
  • [41] Heating speed control method based on adaptive fuzzy PID algorithm
    Jin, Peng
    Zheng, Minxin
    Qi, Bojin
    Feng, Dong
    PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018), 2018, : 471 - 475
  • [42] Research on Fuzzy Adaptive PID Control Algorithm Based on Siemens PLCSIM
    Lin, Chengwu
    Liu, Miao
    Zhu, Jianguang
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ELECTRIC AND ELECTRONICS, 2013, : 293 - 296
  • [43] PID Control Design for a Temperature Control System
    Palaniyappan, T. K.
    Yadav, Vaishali
    Ruchira
    Tayal, Vijay Kumar
    Choudekar, Pallavi
    2018 INTERNATIONAL CONFERENCE ON POWER ENERGY, ENVIRONMENT AND INTELLIGENT CONTROL (PEEIC), 2018, : 632 - 637
  • [44] Design of PID Algorithm Control System Based on DSP
    Zhong Congjiu
    Guan Zongan
    MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8, 2012, 383-390 : 93 - 97
  • [45] MQPSO Algorithm Based Fuzzy PID Control for a Pendubot System
    Lai, Li-Chun
    Fu, Yu-Yi
    Ko, Chia-Nan
    ICAROB 2017: PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS, 2017, : P41 - P44
  • [46] Design of the Motorized Spindle Temperature Control System with PID Algorithm
    Zhang, Lixiu
    Liu, Teng
    Wu, Yuhou
    HARMONY SEARCH ALGORITHM, 2016, 382 : 63 - 68
  • [47] Temperature Control Design with Differential Evolution Based Improved Adaptive-Fuzzy-PID Techniques
    Kaliappan, Prabhu
    Illango, Aravindguru
    Muthusamy, Sivachitra
    Sembanan, Banumathi
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 36 (01): : 781 - 801
  • [48] Design and Simulation Based on Kalman Filter Fuzzy Adaptive PID Control for Mold Liquid Level Control System
    Yao, Gengyun
    Gao, Fengxiang
    Wang, Changsong
    Chen, Xiao
    CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 6105 - +
  • [49] Adaptive burn-in time decision system based on pattern recognition for intelligent reliability control
    Lee, Jang Hee
    Park, Jae Whan
    EXPERT SYSTEMS WITH APPLICATIONS, 2008, 35 (04) : 1688 - 1697
  • [50] Design and Experiment About Temperature Control System Of Sealing Machine Based On Fuzzy PID
    Cao, Yang
    Zhong, Chaochao
    Qiu, Kaiwen
    2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 2, 2016, : 308 - 311
12345