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Bayesian Optimization-Based Interval Type-2 Fuzzy Neural Network for Furnace Temperature Control | IEEE Journals & Magazine | IEEE Xplore
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Bayesian Optimization-Based Interval Type-2 Fuzzy Neural Network for Furnace Temperature Control

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Hao Tian; Jian Tang; Heng Xia; Wen Yu; Junfei Qiao
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Abstract:

The furnace temperature (FT) control is the key for ensuring the stable operation and effective pollution reduction in municipal solid waste incineration (MSWI) processes...Show More

Metadata

Abstract:

The furnace temperature (FT) control is the key for ensuring the stable operation and effective pollution reduction in municipal solid waste incineration (MSWI) processes. However, conventional control strategies encounter challenges in effectively managing FT due to uncertainties associated with material composition, feeding modes, and equipment maintenance. In response to these challenges, this article introduces a control approach utilizing a Bayesian optimization-based interval type-2 fuzzy neural network (BO-IT2FNN), which achieves offline optimization and online control through the FT controller constructed by IT2FNN. In offline optimization process, the BO algorithm is used to optimize the learning rate of multiple types parameter of IT2FNN controller. In the online control process, fine-tuned by gradient descent method with multiple LR for adaptability. In addition, the stability of control system is confirmed using theorem of Lyapunov, providing the theoretical foundation. Experiments with real MSWI data, tested on a hardware-in-loop platform, prove the effectiveness of the proposed method.
Published in: IEEE Transactions on Industrial Informatics ( Volume: 21, Issue: 1, January 2025)
Page(s): 505 - 514
Date of Publication: 24 September 2024

ISSN Information:

DOI: 10.1109/TII.2024.3453383

Funding Agency:

Author image of Hao Tian
Faculty of Information Technology, Beijing University of Technology, Beijing, China
Hao Tian received the B.S. degree in automatic control from Shandong Technology and Business University, Yantai, China, in 2022. He is currently working toward the M.S. degree in control theory and control engineering with Beijing University of Technology, Beijing, China.
His current research interests include intelligent control of furnace temperature in municipal solid waste incineration process.
Hao Tian received the B.S. degree in automatic control from Shandong Technology and Business University, Yantai, China, in 2022. He is currently working toward the M.S. degree in control theory and control engineering with Beijing University of Technology, Beijing, China.
His current research interests include intelligent control of furnace temperature in municipal solid waste incineration process.View more
Author image of Jian Tang
Faculty of Information Technology, Beijing University of Technology, Beijing, China
Jian Tang (Member, IEEE) received the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2012.
He is currently a Professor with the Faculty of Information Technology, Beijing University of Technology, Beijing, China. His current research interests include machine learning based on small sample data, intelligent modeling and control of complex industrial process, digital...Show More
Jian Tang (Member, IEEE) received the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2012.
He is currently a Professor with the Faculty of Information Technology, Beijing University of Technology, Beijing, China. His current research interests include machine learning based on small sample data, intelligent modeling and control of complex industrial process, digital...View more
Author image of Heng Xia
Faculty of Information Technology, Beijing University of Technology, Beijing, China
Heng Xia received the M.S. degree in control engineering from Beijing University of Technology, Beijing, China, in 2020. He is currently working toward the Ph.D. degree in control theory and control engineering with Beijing University of Technology, Beijing, China.
His current research interests include small sample data modeling and dioxin emission prediction of the municipal solid waste incineration process.
Mr. Xia is a ...Show More
Heng Xia received the M.S. degree in control engineering from Beijing University of Technology, Beijing, China, in 2020. He is currently working toward the Ph.D. degree in control theory and control engineering with Beijing University of Technology, Beijing, China.
His current research interests include small sample data modeling and dioxin emission prediction of the municipal solid waste incineration process.
Mr. Xia is a ...View more
Author image of Wen Yu
Departamento de Control Automatico, CINVESTAV-IPN (National Polytechnic Institute), Mexico City, Mexico
Wen Yu (Senior Member, IEEE) received the B.S. degree in automatic control from Tsinghua University, Beijing, China, in 1990, and the M.S. and Ph.D. degrees in electrical engineering from Northeastern University, Shenyang, China, in 1992 and 1995, respectively.
From 1995 to 1996, he was a Lecturer with the Department of Automatic Control, Northeastern University. Since 1996, he has been with National Polytechnic Institute,...Show More
Wen Yu (Senior Member, IEEE) received the B.S. degree in automatic control from Tsinghua University, Beijing, China, in 1990, and the M.S. and Ph.D. degrees in electrical engineering from Northeastern University, Shenyang, China, in 1992 and 1995, respectively.
From 1995 to 1996, he was a Lecturer with the Department of Automatic Control, Northeastern University. Since 1996, he has been with National Polytechnic Institute,...View more
Author image of Junfei Qiao
Faculty of Information Technology, Beijing University of Technology, Beijing, China
Junfei Qiao (Senior Member, IEEE) received the B.S. and M.S. degrees in control engineering from Liaoning Technical University, Fuxin, China, in 1992 and 1995, respectively, and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 1998.
He is currently a Professor with the Faculty of Information Technology, Beijing University of Technology, Beijing, China. His current...Show More
Junfei Qiao (Senior Member, IEEE) received the B.S. and M.S. degrees in control engineering from Liaoning Technical University, Fuxin, China, in 1992 and 1995, respectively, and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 1998.
He is currently a Professor with the Faculty of Information Technology, Beijing University of Technology, Beijing, China. His current...View more
Contents

I. Introduction

The amount of municipal solid waste (MSW) has risen sharply with economic growth and urbanization [1], leading to widespread “garbage siege” problems in many cities [2]. Unprocessed MSW challenges environmental cleanup and sustainable growth [1]. The MSW incineration (MSWI) process, focusing on waste reduction, resource utilization, and harmless treatment, has gained importance. Developed countries like Europe, America, and Japan have advanced MSWI systems [3], but China faces unique issues due to its climate, lifestyle, and economic status. These include unpredictable waste composition, varying calorific values, and moisture levels, making imported automatic combustion control systems less effective. Currently, MSWI in China mainly uses manual control [1], affected by limited energy and varying expertise, limiting consistent operation. Therefore, it is necessary to conduct intelligent control research on furnace temperature (FT) based on the specific situation in China to overcome the difficulties in process control [4], [5].

Author image of Hao Tian
Faculty of Information Technology, Beijing University of Technology, Beijing, China
Hao Tian received the B.S. degree in automatic control from Shandong Technology and Business University, Yantai, China, in 2022. He is currently working toward the M.S. degree in control theory and control engineering with Beijing University of Technology, Beijing, China.
His current research interests include intelligent control of furnace temperature in municipal solid waste incineration process.
Hao Tian received the B.S. degree in automatic control from Shandong Technology and Business University, Yantai, China, in 2022. He is currently working toward the M.S. degree in control theory and control engineering with Beijing University of Technology, Beijing, China.
His current research interests include intelligent control of furnace temperature in municipal solid waste incineration process.View more
Author image of Jian Tang
Faculty of Information Technology, Beijing University of Technology, Beijing, China
Jian Tang (Member, IEEE) received the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2012.
He is currently a Professor with the Faculty of Information Technology, Beijing University of Technology, Beijing, China. His current research interests include machine learning based on small sample data, intelligent modeling and control of complex industrial process, digital twin system of municipal solid waste incineration process.
Jian Tang (Member, IEEE) received the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2012.
He is currently a Professor with the Faculty of Information Technology, Beijing University of Technology, Beijing, China. His current research interests include machine learning based on small sample data, intelligent modeling and control of complex industrial process, digital twin system of municipal solid waste incineration process.View more
Author image of Heng Xia
Faculty of Information Technology, Beijing University of Technology, Beijing, China
Heng Xia received the M.S. degree in control engineering from Beijing University of Technology, Beijing, China, in 2020. He is currently working toward the Ph.D. degree in control theory and control engineering with Beijing University of Technology, Beijing, China.
His current research interests include small sample data modeling and dioxin emission prediction of the municipal solid waste incineration process.
Mr. Xia is a Reviewer for IEEE Transactions on Neural Networks and Learning Systems.
Heng Xia received the M.S. degree in control engineering from Beijing University of Technology, Beijing, China, in 2020. He is currently working toward the Ph.D. degree in control theory and control engineering with Beijing University of Technology, Beijing, China.
His current research interests include small sample data modeling and dioxin emission prediction of the municipal solid waste incineration process.
Mr. Xia is a Reviewer for IEEE Transactions on Neural Networks and Learning Systems.View more
Author image of Wen Yu
Departamento de Control Automatico, CINVESTAV-IPN (National Polytechnic Institute), Mexico City, Mexico
Wen Yu (Senior Member, IEEE) received the B.S. degree in automatic control from Tsinghua University, Beijing, China, in 1990, and the M.S. and Ph.D. degrees in electrical engineering from Northeastern University, Shenyang, China, in 1992 and 1995, respectively.
From 1995 to 1996, he was a Lecturer with the Department of Automatic Control, Northeastern University. Since 1996, he has been with National Polytechnic Institute, Mexico City, Mexico, where he is currently a Professor with the Departamento de Control Automatico. From 2002 to 2003, he was a Researcher with the Instituto Mexicano del Petroleo. He was a Senior Visiting Research Fellow with Queen's University Belfast, Belfast, U.K., from 2006 to 2007, and a Visiting Associate Professor with the University of California at Santa Cruz, Santa Cruz, CA, USA, from 2009 to 2010. He has been a Visiting Professors with Northeastern University, Shenyang, China, since 2006.
Dr. Yu is a Member of the Mexican Academy of Sciences. He is currently an Associate Editor for IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, and Journal of Intelligent and Fuzzy Systems.
Wen Yu (Senior Member, IEEE) received the B.S. degree in automatic control from Tsinghua University, Beijing, China, in 1990, and the M.S. and Ph.D. degrees in electrical engineering from Northeastern University, Shenyang, China, in 1992 and 1995, respectively.
From 1995 to 1996, he was a Lecturer with the Department of Automatic Control, Northeastern University. Since 1996, he has been with National Polytechnic Institute, Mexico City, Mexico, where he is currently a Professor with the Departamento de Control Automatico. From 2002 to 2003, he was a Researcher with the Instituto Mexicano del Petroleo. He was a Senior Visiting Research Fellow with Queen's University Belfast, Belfast, U.K., from 2006 to 2007, and a Visiting Associate Professor with the University of California at Santa Cruz, Santa Cruz, CA, USA, from 2009 to 2010. He has been a Visiting Professors with Northeastern University, Shenyang, China, since 2006.
Dr. Yu is a Member of the Mexican Academy of Sciences. He is currently an Associate Editor for IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, and Journal of Intelligent and Fuzzy Systems.View more
Author image of Junfei Qiao
Faculty of Information Technology, Beijing University of Technology, Beijing, China
Junfei Qiao (Senior Member, IEEE) received the B.S. and M.S. degrees in control engineering from Liaoning Technical University, Fuxin, China, in 1992 and 1995, respectively, and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 1998.
He is currently a Professor with the Faculty of Information Technology, Beijing University of Technology, Beijing, China. His current research interests include neural networks, intelligent systems, and modeling and optimal control of complex industrial processes.
Junfei Qiao (Senior Member, IEEE) received the B.S. and M.S. degrees in control engineering from Liaoning Technical University, Fuxin, China, in 1992 and 1995, respectively, and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 1998.
He is currently a Professor with the Faculty of Information Technology, Beijing University of Technology, Beijing, China. His current research interests include neural networks, intelligent systems, and modeling and optimal control of complex industrial processes.View more
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