Research Progress and Prospects of Temperature Control in Chemical Reactors
DOI:
https://doi.org/10.6911/WSRJ.202505_11(5).0010Keywords:
Reactor; Temperature Control; Chemical Production; Adaptive Fuzzy PID Control.Abstract
Reactors are commonly used reaction vessels for chemical reactions and are widely applied in chemical production. This article introduces the basic structure and working characteristics of chemical reactors, and based on this, proposes the difficult problems in temperature control during the reactor operation process. Subsequently, it elaborates on the working principle of the adaptive fuzzy PID controller and its application scenarios such as temperature alarms and emergency stops. Finally, it further prospects the future research trends of chemical reactor temperature control technology, indicating the direction for future research on reactor temperature control.
Downloads
References
[1] SRIVASTAVA V, SRIVASTAVA S.Control of contin-u ous stirred tank reactor (CSTR) using nature in-spired algorithms [J] ..Journal of Information & Opti-mization Sciences,2019,40 (2): 329-338.
[2] KHANDUJA N, BHUSHAN B.Optimal design of FOPID controller for the control of CSTR by using a novel hybrid metaheuristic algorithm [J] .Sadhana, 2021,46 (2): 104-116.
[3] XU F X, ZHANG X J, SONG X H, et al.Compositecontrol of RBF neural network and PD for nonlinear dynamic plants using U-model [J] .Journal of Intell-igent & Fuzzy Systems, 2018, 35 (1): 565-575.
[4] SUN Y, XU J, LIN G, et al. RBF Neural Network-Based Supervisor Control for Maglev Vehicles on an Elastic Track with Network Time Delay [J] .IEEE Tra-nsactions on Industrial Informatics, 2020, 18 (1): 509-519..
[5] BAHITA M, BELARBI K.Fuzzy modelling and modereference neural adaptive control of the concentr-ation in a chemical reactor (CSTR) [J] .AI &SOCIETY, 2018, 33 (2): 189-196.
[6] He Ren, Hu Donghai, Zhang Duanjun. Research and progress of automotive electromagnetic braking technology[J]. Journal of Automotive Safety and Energy, 2013, 4(3): 202-214.
[7] Hu Xiaofei, Wang Yi, Zhu Yan, et al. Development status and application prospects of electromagnetic brakes[J]. Small & Special Electrical Machines, 2019, 47(4): 71-75.
[8] Nayak D, Samal S S, Mallick B K, et al. DESING OF ELECTROMAGNETIC BRAKING SYSTEM[J].
[9] Xia Chen, Li Pu. Reactor design and its temperature control system[J]. Control and Instruments in Chemical Industry, 2004(1): 66-69.
[10] Jiang Wenjuan, Wang Peng. Control of reactor temperature based on biogeography-based optimization algorithm[J]. Control and Instruments in Chemical Industry, 2015, 42(12): 1314-1317.
[11] Meng Lei, Zou Zhiyun, Liu Xinghong, et al. Design and simulation of reactor temperature control based on Smith predictor and human-simulating intelligence[J]. Control and Instruments in Chemical Industry, 2015, 42(6): 613-615.
[12] BARANI LINGESANI.Optimizational gorithm-based Elman neural network controller for continuous stirre-d tank reactor process model [J] .CurrentSci-ence,2021,120(8): 1324-1333.
[13] Li Xinwei. Design and simulation of the temperature control system for continuous reactors[J]. Control and Instruments in Chemical Industry, 2010, 37(11): 19-22.
[14] Ji Chuangxin. Design research on the temperature control system of reactors in chemical production[J]. Chemical Engineering Design Communications, 2016, 42(2): 85-87.
[15] Gao Qing, Zhang Li, Xue Xulu, et al. Application research of improved PID in the reactor temperature control system[J]. Measurement & Control Technology, 2018, 37(7): 136-139.
[16] Li Ling, Li Weiwei. Simulation research on model predictive control method for continuous stirred tank reactors[J]. Computers and Applied Chemistry, 2019, 36(6): 620-625.
[17] Meng Lei, Zou Zhiyun, Liu Xinghong, et al. Design and simulation of reactor temperature control based on Smith predictor and human-simulating intelligence[J]. Control and Instruments in Chemical Industry, 2015, 42(6): 613-615.
[18] DEEPA S N,JAYALAKSHMI N Y.Optimized Fu-zzy-Based Wavelet Neural Network Controller fo-r a Non-Linear Process Control System [J] .IETE Journal of Research,2021(2): 1-10.
[19] SHAKERIE, LATIF-SHABGAHIG, ABHARIANAE, et al. Design of anintelligent stochastic modelpredictive controller for a continuous stirred tank reactor through a Fokker-Planck observer [J]. Transactions of the Institute of Measurementand Control,2018,40(10): 3010-3022.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 World Scientific Research Journal

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.



