Fuzzy-PID-Based Atmosphere Packaging Gas Distribution System for Fresh Food

被引:45
|
作者
Zhang, Haiyu [1 ]
Zuo, Xuanyi [2 ]
Sun, Boyu [2 ]
Wei, Bingqing [1 ]
Fu, Jiajie [1 ]
Xiao, Xinqing [2 ]
机构
[1] China Agr Univ, Yantai Inst, Yantai 264670, Peoples R China
[2] China Agr Univ, Coll Engn, Beijing 100083, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 04期
关键词
atmosphere packaging; gas distribution system; remote monitoring; fuzzy PID controller; QUALITY; ALGORITHM;
D O I
10.3390/app13042674
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The regulation process of gas distribution systems for atmosphere packaging has the characteristics of being nonlinear time varying and having hysteric delay. When the conventional proportional-integral-derivative (PID) control algorithm is applied to this kind of system, it is difficult to set the parameters as the process is time consuming and has poor reliability. For these reasons, this paper designs a gas distribution system for fresh food atmosphere packaging based on a fuzzy PID controller. The step response method is used to construct the system's mathematical model under the given conditions and to optimize the gas distribution control flow. A simulation experimental platform to compare between the fuzzy PID controller and a conventional PID controller is designed, and the effectiveness of the fuzzy PID control strategy is verified, which proves that it can improve the performance of the monitoring system. The system can realize the remote monitoring of the gas distribution processes through the use of a mobile phone communication network. The data transmission is reliable, the operation is convenient, and, at the same time, the overall efficiency is improved. The results of the system simulation and the gas distribution for atmosphere packaging show that the fuzzy PID algorithm has a faster gas distribution speed and good environmental adaptability as the controller of the gas distribution system. The results show that the stability time of the fuzzy PID controller is about 38 s, while the stability time of the conventional PID controller is about 85 s. The concentration error of fresh gases is +/- 0.25% floating, the accuracy is increased by 12 times, and the gas distribution speed is increased by about 50% when the system is stable.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Design of torque system for electric bicycle based on fuzzy PID
    Zheng, Yunhong
    Dai, Rongsheng
    Zhou, Zongjie
    JOURNAL OF ENGINEERING-JOE, 2019, 2019 (23): : 8710 - 8714
  • [42] Research on laser cladding control system based on fuzzy PID
    Zhang, Chuanwei
    Yu, Zhengyang
    1ST INTERNATIONAL CONFERENCE ON FRONTIERS OF MATERIALS SYNTHESIS AND PROCESSING (FMSP 2017), 2017, 274
  • [43] Turbine speed control system based on a fuzzy-PID
    孙建华
    汪伟
    余海燕
    JournalofMarineScienceandApplication, 2008, 7 (04) : 268 - 272
  • [44] Position Control of Servo Press System Based on Fuzzy PID
    Huo Zhongliang
    Wang Xingsong
    PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2012, : 4068 - 4073
  • [45] Bionic Eye System Based on Fuzzy Adaptive PID Control
    Zhou, Yumei
    Luo, Jun
    Hu, Juqi
    Li, Hengyu
    Xie, Shaorong
    2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO 2012), 2012,
  • [46] Cost-Optimization Problem with a Soft Time Window Based on an Improved Fuzzy Genetic Algorithm for Fresh Food Distribution
    Wang, Yong Ming
    Yin, Hong Li
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 2018
  • [47] Research on fresh food traceability system based on blockchain
    Chen, Yajun
    Zhao, Guogang
    Yin, Zelong
    Li, Chenhao
    Li, Yulong
    Zhou, Jinyan
    Jiao, Yang
    Li, Lu
    PROCEEDINGS OF 2024 3RD INTERNATIONAL CONFERENCE ON FRONTIERS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING, FAIML 2024, 2024, : 174 - 175
  • [48] Research on Pump Speed Control System Based on Fuzzy PID
    Luo, Yin
    Jin, Tao
    Li, Xiao
    Qin, Xuechong
    Han, Yuejiang
    MECHANIKA, 2023, 29 (03): : 225 - 234
  • [49] A fuzzy logic-based PID for power system stabilization
    El-Metwally, KA
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2001, 29 (07) : 659 - 669
  • [50] Research of Fuzzy PID Elevator Control System Based on PLC
    Jin, Hongji
    PROCEEDINGS OF THE 2016 3RD INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING, MANUFACTURING TECHNOLOGY AND CONTROL, 2016, 67 : 354 - 357