Fuzzy logic for accurate control of heating temperature and duration in canned food sterilisation

被引:0
|
作者
Chung C.-C. [1 ]
Chen H.-H. [1 ]
Ting C.-H. [2 ]
机构
[1] Department of Food Science, National Pingtung University of Science and Technology, Neipu, 1, Shuefu Road, Pingtung
[2] Department of Mechanical and Energy Engineering, National Chiayi University, 300, University Road, Chiayi
关键词
F[!sub]0[!/sub] value; Fuzzy control; On-line updation; PLC; Sterilisation; Thermal process;
D O I
10.1016/j.eaef.2015.11.003
中图分类号
学科分类号
摘要
Autoclave thermal process is an important sterilisation procedure in the food canning industry. The performance of sterilisation is determined by the heating temperature and duration and the pressure in the autoclave, as well as by product's properties. In this study, a fuzzy logic controller is developed to maintain a small steady-state temperature error (121 ± 0.5 °C) for an sterilising duration (F0) by adapting to process deviations in the autoclave. The precise temperature control associated with on-line F0 updation assures food stuff that can be heated at the specified temperature for an expected duration and could lead therefore to successful sterilisation. The controls are implemented on a PLC (programmable logic controller) for affordability, reliability, and robustness and the operations are supervised using a web-based SCADA (supervisory control and data acquisition) system for remotely supervisory monitoring and control. © 2015 Asian Agricultural and Biological Engineering Association, Association. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:187 / 194
页数:7
相关论文
共 50 条
  • [1] Intelligent Heating System Temperature Control Method Using Fuzzy Logic
    Jurenoks, Aleksejs
    Novickis, Leonids
    2017 IEEE 58TH INTERNATIONAL SCIENTIFIC CONFERENCE ON POWER AND ELECTRICAL ENGINEERING OF RIGA TECHNICAL UNIVERSITY (RTUCON), 2017,
  • [2] Fuzzy Logic Control of External Heating System for Electric Vehicle Batteries at Low Temperature
    Zhang, Shupeng
    Li, Tao
    Chen, Liqun
    WORLD ELECTRIC VEHICLE JOURNAL, 2023, 14 (04):
  • [3] FUZZY-LOGIC FOR TEMPERATURE/PROCESS CONTROL
    DEWEY, D
    MEASUREMENTS & CONTROL, 1994, (163): : 106 - 109
  • [4] PID and Fuzzy Logic in Temperature Control System
    Alla, Mohammed Elnour A.
    Taha, Waleed Ibrahim Mohammed
    2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONICS ENGINEERING (ICCEEE), 2013, : 171 - 176
  • [5] Fuzzy logic applied to reboiler temperature control
    Coeyman, B
    Bowles, JB
    FUZZ-IEEE '96 - PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 1996, : 511 - 516
  • [6] Determining food safety in canned food using fuzzy logic based on sulphur dioxide, benzoic acid and sorbic acid concentration
    Mavani, Nidhi Rajesh
    Ali, Jarinah Mohd
    Hussain, M. A.
    Rahman, Norliza Abd.
    Hashim, Haslaniza
    HELIYON, 2024, 10 (04)
  • [7] An Automated Temperature Control System: A Fuzzy Logic Approach
    Magsumbol, Jo-Ann V.
    Baldovino, Renann G.
    Valenzuela, Ira C.
    Sybingco, Edwin
    Dadios, Elmer P.
    2018 IEEE 10TH INTERNATIONAL CONFERENCE ON HUMANOID, NANOTECHNOLOGY, INFORMATION TECHNOLOGY, COMMUNICATION AND CONTROL, ENVIRONMENT AND MANAGEMENT (HNICEM), 2018,
  • [8] Temperature control: PID vs. fuzzy logic
    Galan, P
    CONTROL ENGINEERING, 2004, 51 (01) : IP7 - IP8
  • [9] FUZZY-LOGIC - A CLEAR CHOICE FOR TEMPERATURE CONTROL
    BERG, HV
    I&CS-INSTRUMENTATION & CONTROL SYSTEMS, 1993, 66 (06): : 39 - 41
  • [10] Applying fuzzy logic in a complex temperature control system
    Kaehler, SD
    APPLICATIONS AND SCIENCE OF NEURAL NETWORKS, FUZZY SYSTEMS, AND EVOLUTIONARY COMPUTATION V, 2002, 4787 : 218 - 231