Generalized predictive control using improved recurrent fuzzy neural network for a boiler-turbine unit

Engineering Applications of Artificial Intelligence - Tập 121 - Trang 106053 - 2023
Min Zhao1, Jin Wan1, Chen Peng2
1School of Science, Nantong University, Jiangsu, 226019, China
2School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China

Tài liệu tham khảo

Bi, 2016, A big data clustering algorithm for mitigating the risk of customer churn, IEEE Trans. Ind. Inform., 12, 1270, 10.1109/TII.2016.2547584 Chao, 2019, An evolving recurrent interval type-2 intuitionistic fuzzy neural network for online learning and time series prediction, Appl. Soft Comput., 78, 150, 10.1016/j.asoc.2019.02.032 Chavoshian, 2020, Recurrent neuro-fuzzy model of pneumatic artificial muscle position, J. Mech. Sci. Technol., 34, 499, 10.1007/s12206-019-1154-8 Chen, 2010, Clean coal technology development in China, Energy Policy, 38, 2123, 10.1016/j.enpol.2009.06.003 Cheng, 2021, An improved neuro-fuzzy generalized predictive control of ultra-supercritical power plant, Cogn. Comput., 13, 1556, 10.1007/s12559-021-09949-z Cheng, 2020, Fuzzy K-means cluster based generalized predictive control of ultra supercritical power plant, IEEE Trans. Ind. Inform., 17, 4575, 10.1109/TII.2020.3020259 Draganescu, 2015, Generalized predictive control for superheated steam temperature regulation in a supercritical coal-fired power plant, Csee J. Power Energy Syst., 1, 69, 10.17775/CSEEJPES.2015.00009 Du, 2020, A TSK-type convolutional recurrent fuzzy network for predicting driving fatigue, IEEE Trans. Fuzzy Syst., 29, 2100, 10.1109/TFUZZ.2020.2992856 Escaño, 2009, Neurofuzzy model based predictive control for thermal batch processes, J. Process Control, 19, 1566, 10.1016/j.jprocont.2009.07.016 Espinosa, 2004 Fu, 2017, Real-time optimal control of tracking running for high-speed electric multiple unit, Inform. Sci., 376, 202, 10.1016/j.ins.2016.10.024 Grata, 2020, Deep learning as an alternative to super-resolution imaging in UAV systems Guo, 2021, Novel computer-aided lung cancer detection based on convolutional neural network-based and feature-based classifiers using metaheuristics, Int. J. Imaging Syst. Technol., 31, 1954, 10.1002/ima.22608 Henao, 2017, Approach in nonintrusive type I load monitoring using subtractive clustering, IEEE Trans. Smart Grid, 8, 812 Huang, 2021, Double iterative learning-based polynomial based-RBFNNs driven by the aid of support vector-based kernel fuzzy clustering and least absolute shrinkage deviations, Fuzzy Sets and Systems Jia, 2020, Classification of electromyographic hand gesture signals using modified fuzzy C-means clustering and two-step machine learning approach, IEEE Trans. Neural Syst. Rehabil. Eng., 28, 1, 10.1109/TNSRE.2020.2986884 Juang, 2010, A locally recurrent fuzzy neural network with support vector regression for dynamic-system modeling, IEEE Trans. Fuzzy Syst., 18, 261 Kocaarslan, 2006, A fuzzy logic controller application for thermal power plants, Energy Convers. Manage., 47, 442, 10.1016/j.enconman.2005.05.010 Kong, 2016, An effective nonlinear multivariable HMPC for USC power plant incorporating NFN-based modeling, IEEE Trans. Ind. Inform., 12, 555, 10.1109/TII.2016.2520579 Li, 2012, Dynamics of clean coal-fired power generation development in China, Energy Policy, 51, 138, 10.1016/j.enpol.2011.06.012 Lin, 2014, Simplified interval type-2 fuzzy neural networks, IEEE Trans. Neural Netw. Learn. Syst., 25, 959, 10.1109/TNNLS.2013.2284603 Liu, 2006, Neuro-fuzzy generalized predictive control of boiler steam temperature, IEEE Trans. Energy Convers., 21, 900, 10.1109/TEC.2005.853758 Liu, 2013, Modeling of a 1000 MW power plant ultra super-critical boiler system using fuzzy-neural network methods, Energy Convers. Manage., 65, 518, 10.1016/j.enconman.2012.07.028 Liu, 2003, Neurofuzzy network modelling and control of steam pressure in 300MW steam-boiler system, Eng. Appl. Artif. Intell., 16, 431, 10.1016/j.engappai.2003.08.006 Liu, 2015, Brain dynamics in predicting driving fatigue using a recurrent self-evolving fuzzy neural network, IEEE Trans. Neural Netw. Learn. Syst., 27, 1, 10.1109/TNNLS.2014.2375591 Liu, 2020, Nonlinear generalized predictive control of the crystal diameter in CZ-Si crystal growth process based on stacked sparse autoencoder, IEEE Trans. Control Syst. Technol., 28, 1132, 10.1109/TCST.2019.2898975 Lu, 2007, Generalized predictive control using recurrent fuzzy neural networks for industrial processes, J. Process Control, 17, 83, 10.1016/j.jprocont.2006.08.003 Lu, 2011, Predictive control using recurrent neural networks for industrial processes, J. Chin. Inst. Eng., 32, 277, 10.1080/02533839.2009.9671504 Milli, 2022, SubtStream: Online subtractive stream clustering algorithm, Concurr. Comput.: Pract. Exper., 34, 1, 10.1002/cpe.6968 Mingoti, 2006, Comparing SOM neural network with Fuzzy c-means, K-means and traditional hierarchical clustering algorithms, European J. Oper. Res., 174, 1742, 10.1016/j.ejor.2005.03.039 Mir, 2020, Employing a Gaussian particle swarm optimization method for tuning multi input multi output-fuzzy system as an integrated controller of a micro-grid with stability analysis, Comput. Intell., 36, 225, 10.1111/coin.12257 Mohamed, 2020, Modeling and control of supercritical and ultra-supercritical power plants: A review, Energies, 13, 1, 10.3390/en13112935 Moon, 2003, A boiler-turbine system control using a fuzzy auto-regressive moving average (FARMA) model, IEEE Trans. Energy Convers., 18, 142, 10.1109/TEC.2002.808408 Navid Razmjooy, 2019 Pawlowski, 2013, Generalized predictive control with actuator deadband for event-based approaches, IEEE Trans. Ind. Inform., 10, 523, 10.1109/TII.2013.2270570 Qazani, 2022, An optimal washout filter for motion platform using neural network and fuzzy logic, Eng. Appl. Artif. Intell., 108, 10.1016/j.engappai.2021.104564 Rezaeian, 2017, Generator coherency and network partitioning for dynamic equivalencing using subtractive clustering algorithm, IEEE Syst. J., 12, 3085, 10.1109/JSYST.2017.2665701 Romero, 2015, Low speed hybrid generalized predictive control of a gasoline-propelled car, ISA Trans., 57, 373, 10.1016/j.isatra.2015.01.004 Schwedersky, 2022, Nonlinear model predictive control algorithm with iterative nonlinear prediction and linearization for long short-term memory network models, Eng. Appl. Artif. Intell., 115, 10.1016/j.engappai.2022.105247 Shiwen, 2019, Generalized predictive control for industrial processes based on neuron adaptive splitting and merging RBF neural network, IEEE Trans. Ind. Electron., 66, 1192, 10.1109/TIE.2018.2835402 Silva, 2000, Adaptive regulation of super-heated steam temperature: a case study in an industrial boiler, Control Eng. Pract., 8, 1405, 10.1016/S0967-0661(00)00069-1 Tan, 2004, Tuning of PID controllers for boiler-turbine units, ISA Trans., 43, 571, 10.1016/S0019-0578(07)60169-4 Tan, 2019, Characteristic model–based generalized predictive control and its application to the parafoil and payload system, Optim. Control Appl. Methods, 40, 659, 10.1002/oca.2506 Tian, 2017, Generalized predictive PID control for main steam temperature based on improved PSO algorithm, J. Adv. Comput. Intell. Intell. Inform., 16, 431 Umair, 2022, A network intrusion detection system using hybrid multilayer deep learning model, Big Data, 1 Wang, 2017, Trajectory tracking control of robot manipulator based on RBF neural network and fuzzy sliding mode, Cluster Comput., 22, 1 Wang, 2019, Efficiency extreme point tracking strategy based on FFRLS online identification for PEMFC system, IEEE Trans. Energy Convers., 34, 952, 10.1109/TEC.2018.2872861 Wang, 2021, Interval type-2 fuzzy neural network based constrained GPC for NH3 flow in SCR de-NOx process, Neural Comput. Appl., 33, 16057, 10.1007/s00521-021-06227-9 Wang, 2022, Stochastic configuration network based cascade generalized predictive control of main steam temperature in power plants, Inform. Sci., 587, 123, 10.1016/j.ins.2021.12.006 Wen, 2020, Long term electric load forecasting based on TS-type recurrent fuzzy neural network model, Electr. Power Syst. Res., 179, 10.1016/j.epsr.2019.106106 Zhang, 2013 Zhang, 2012, Cascade control of superheated steam temperature with neuro-PID controller, ISA Trans., 51, 778, 10.1016/j.isatra.2012.06.008 Zhang, 2013, Generalized predictive control applied in waste heat recovery power plants, Appl. Energy, 102, 320, 10.1016/j.apenergy.2012.07.038