Development of an Adaptive Fuzzy-Neural Controller for Temperature Control in a Brick Tunnel Kiln

被引:6
作者
Phan, Van Du [1 ]
Nguyen, Xuan Hung [1 ]
Dinh, Van Nam [1 ]
Dang, Thai Son [1 ]
Le, Van Chuong [1 ]
Ho, Sy Phuong [1 ]
Ta, Hung Cuong [1 ]
Duong, Dinh Tu [1 ]
Mai, The Anh [1 ]
机构
[1] Vinh Univ, Sch Engn & Technol, Vinh City 43108, Vietnam
关键词
fuzzy-neural network; fuzzy logic system; PID; brick tunnel kiln; temperature control; CONTROL-SYSTEM; HEAT-TRANSFER; ZONE; SIMULATION; DESIGN; FUEL;
D O I
10.3390/electronics13020342
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This research focuses on developing an adaptive fuzzy-neural control system to manage and maintain temperature in brick tunnel kilns. The problem is how to optimize performance and energy consumption in the brick production process. A control algorithm using a combination of a fuzzy logic system and neural network is proposed to automatically adjust temperature parameters, optimize production efficiency, and reduce energy consumption. Simulation and experimental results demonstrate the outstanding performance of the presented system, with significant improvements in energy efficiency and product quality compared to traditional control methods. Moreover, the obtained results exhibit the potential for wide application of the adaptive neuro-fuzzy control method in academic study or industrial production processes.
引用
收藏
页数:15
相关论文
共 32 条
[1]   Heat and mass transport in an industrial tunnel dryer: Modeling and simulation applied to hollow bricks [J].
Almeida, Genival da Silva ;
da Silva, Joselito Barbosa ;
Joaquina e Silva, Carlota ;
Swarnakar, Ramdayal ;
Neves, Gelmires de Araujo ;
Barbosa de Lima, Antonio Gilson .
APPLIED THERMAL ENGINEERING, 2013, 55 (1-2) :78-86
[2]   Energy efficient brick kilns for sustainable environment [J].
Darain, Kh Mahfuz Ud ;
Jumaat, Mohd Zamin ;
Islam, A. B. M. Saiful ;
Obaydullah, M. ;
Iqbal, Asif ;
Adham, Md. Ibrahim ;
Rahman, Md. Moshiur .
DESALINATION AND WATER TREATMENT, 2016, 57 (01) :105-114
[3]   Integrated Measuring and Control System for Thermal Analysis of Buildings Components in Hot Box Experiments [J].
de Rubeis, Tullio ;
Muttillo, Mirco ;
Nardi, Iole ;
Pantoli, Leonardo ;
Stornelli, Vincenzo ;
Ambrosini, Dario .
ENERGIES, 2019, 12 (11)
[4]   Robust control for vibration control systems with dead-zone band and time delay under severe disturbance using adaptive fuzzy neural network [J].
Do Xuan Phu ;
Van Mien .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (17) :12281-12307
[5]   The Design of Predictive Fuzzy-PID Controller in Temperature Control System of Electrical Heating Furnace [J].
Duan, Ying-hong .
LIFE SYSTEM MODELING AND INTELLIGENT COMPUTING, PT II, 2010, 6329 :259-265
[6]   A MODEL OF HEAT-TRANSFER IN TUNNEL KILNS USED FOR FIRING REFRACTORIES [J].
DUGWELL, DR ;
OAKLEY, DE .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 1988, 31 (11) :2381-2390
[7]  
Durakovic J., 2006, Mater. Geoenviron, V53, P403
[8]  
Efheij H., 2021, P 2021 IEEE 1 INT MA, P110, DOI DOI 10.1109/MI-STA52233.2021.9464484
[9]  
Guofang G., 2012, LECT NOTES ELECT ENG, P1463, DOI DOI 10.1007/978-1-4471-2386-6_196
[10]  
Hambali Najidah, 2014, 2014 IEEE INT C SMAR