Study on the Temperature Control Method for Piecewise Microwae Heating

被引:2
|
作者
Zhou Xinzhi [1 ]
Wang Wei [1 ]
Zhao Ruiyong [1 ]
Gong Yunhong [1 ]
机构
[1] Sichuan Univ, Coll Elect & Informat Engn, Chengdu, Sichuan, Peoples R China
关键词
Microwave heating process; temperature control; k-means clustering; piecewise fuzzy PID; thermal runaway;
D O I
10.2174/2352096511666180212112220
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Background: During the microwave heating process, the dielectric property of the heated media changes with temperature and time, and the change of temperature at its Low-Temperature (LT) stage and High-Temperature (HT) stage shows different characteristics obviously. Sometimes, hotspots and thermal runaway occur. Methods: Regular control methods are difficult to effectively control the temperature during the whole microwave heating and drying process. To solve this problem, a microwave source power control method based on piecewise fussy PID is proposed. This method uses the k-means clustering to divide temperature change of the heated material into LT stage and HT stage, and adopts fuzzy PID control strategies of different levels and rules based on different temperature change characteristics. Results: This paper studied the fuzzy controller design for the LT and HT stages, respectively and illustrates the engineering way to realize this control method. The simulation result shows that the piecewise fuzzy PID controller reduces the temperature overshoot of the microwave heating process to 1/4 of a regular PID controller and shortens the time for the temperature to reach the target value to 1/3 of the original time. This method also shows good robustness. Conclusion: Therefore, this method, when applied to active control of microwave power, can effectively avoid thermal runaway prone in the heating process and improve the safety and reliability of the microwave heating system.
引用
收藏
页码:280 / 285
页数:6
相关论文
共 50 条
  • [41] Study on the variation of the maximum temperature during heating process of a resistance heater
    Mo, Zonglai
    Song, Shihao
    Wang, Jili
    Zhang, Congyue
    Li, Zhuangzhang
    Zhou, Yue
    Liang, Yuanjie
    Li, Jun
    2023 29TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE, M2VIP 2023, 2023,
  • [42] ADAPTIVE-CONTROL IN A HEATING VESSEL - A COMPARATIVE-STUDY
    PEREZCORREA, JR
    SEPULVEDA, FR
    DUARTE, MA
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 1995, 9 (02) : 183 - 197
  • [43] Soak-time estimation method using control output in heating furnace
    Lee H.-S.
    Lee M.-H.
    Park T.-S.
    Song B.-H.
    Park P.-G.
    Transactions of the Korean Institute of Electrical Engineers, 2019, 68 (12) : 1590 - 1593
  • [44] Application of Analog Compound Orthogonal Neural Network to Temperature Control of Electric Heating Dryers
    Wei, Hongling
    Gu, Lingang
    ADVANCES IN ENGINEERING DESIGN AND OPTIMIZATION, PTS 1 AND 2, 2011, 37-38 : 176 - 180
  • [45] An improved particle swarm fuzzy PID for adaptive control of temperature in CFRP induction heating
    Liu, Meijun
    Cheng, Liwei
    Xu, Jiazhong
    Zhang, Xiaobing
    Zhang, Hao
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2024, 238 (04) : 500 - 513
  • [46] Self-adjusting Air Temperature Control System in Residential Accommodation with Electric Heating
    Faida, E. L.
    Sivkova, A. P.
    Nikonova, L. Yu.
    2017 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, APPLICATIONS AND MANUFACTURING (ICIEAM), 2017,
  • [47] Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings
    Brandi, Silvio
    Piscitelli, Marco Savino
    Martellacci, Marco
    Capozzoli, Alfonso
    ENERGY AND BUILDINGS, 2020, 224
  • [48] Temperature controller of heating furnace of crude oil based on Fuzzy Control and Expert System
    Song Jijiang
    Niu Yixia
    Proceedings of the First International Symposium on Test Automation & Instrumentation, Vols 1 - 3, 2006, : 697 - 702
  • [49] MPPT Method Based on Temperature Control of the Photovoltaic Cells
    Martins da Rocha, Nuno Miguel
    Martins, Denizar Cruz
    Passos, Julio Cesar
    2016 12TH IEEE/IAS INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS (INDUSCON), 2016,
  • [50] Numerical Study on Thermal Runaway of LFP batteries Triggered by Low Temperature Heating
    An, Chao
    Zhai, Jiawei
    Luo, Zhi
    Lei, Zhiguo
    FIRE TECHNOLOGY, 2024, : 3927 - 3947