Paper Titles
Process Optimization of Oil Extraction from African Walnut (Tetracarpidium Conophorum) Seeds for Bio-Based Coating Applications
p.15
Development and Evaluation of a Solar-Powered, Pneumatic-Assisted Cowpea Grading Machine for Improving Postharvest Processing in Smallholder Agro-Enterprises
p.43
Heat Transfer Enhancement in a Gyroid-Structured Compact Heat Exchanger Using Computational Fluid Dynamics
p.59
H-Infinity-Based Flow Control Method for a Centrifugal Pumping System via Speed Regulation
p.81
Fuzzy Incremental PID Control for Overshoot Reduction of Molten Level Regulation in Top Side-Pouring Twin-Roll Casting
p.101
Determination of Optimum Wavelength from Absorption Characteristics for Underwater Visible Light Communication in Atlantic Ocean
p.119
Impact of Plastic Waste, Lime and Cement on the Strength Properties of Laterite Soil for Sustainable Pavement Construction
p.137
Effect of Stabilizers and Compression Pressure on Mechanical and Shrinkage Properties of Sustainable Compressed Earth Blocks
p.157
Developing Eco-Friendly Concrete Using Recycled Aggregate Pre-Soaked in Blended Cement-Calcined Clay Slurry with Incorporation of Kenaf Fibre
p.177

Fuzzy Incremental PID Control for Overshoot Reduction of Molten Level Regulation in Top Side-Pouring Twin-Roll Casting

Article Preview

Abstract:

This study constructs a vector control model for asynchronous motor variable-frequency speed regulation systems in Simulink and establishes a molten level model based on geometric relationships within the molten pool. To address this nonlinear, time-varying system, a fuzzy incremental PID controller is proposed. Compared with fuzzy control and PID control, the fuzzy incremental PID controller adopted in this paper achieves smaller overshoot and shorter settling time for reference tracking and disturbance rejection in the top-side pouring twin-roll casting (TSTRC) process, demonstrating superior control performance. Furthermore, the fuzzy incremental PID controller features a straightforward structure and algorithm that facilitate practical implementation, fully meeting the molten level control requirements of TSTRC equipment.

You might also be interested in these eBooks
International Journal of Engineering Research in Africa Vol. 80 View Preview

Info:

Periodical:

International Journal of Engineering Research in Africa (Volume 80)

Pages:

101-117

DOI:

https://doi.org/10.4028/p-An383Z

Citation:

Cite this paper

Online since:

July 2026

Authors:

Jiang Ping Xue, Dong Po Xuan*, Yong Qiang Wu

Keywords:

Molten Level Control, Molten Level Model, Simulation, Twin-Roll Casting

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2026 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] S. Ge, M. Isac, R.I.L. Guthrie, Progress of strip casting technology for steel; historical developments, Isij International, 52 (2012) 2109-2122

DOI: 10.2355/isijinternational.52.2109

Google Scholar

[2] C.R. Killmore, D.G. Edelman, K.R. Carpenter, H.R. Kaul, J.G. Williams, P.C. Campbell, W.N. Blejde, Recent product developments with ultra-thin cast strip products produced by the CASTRIP®process, Materials Science Forum, 198 (2010) 654-656

DOI: 10.4028/www.scientific.net/MSF.654-656.198

Google Scholar

[3] S. Ge, M. Isac, R.I.L. Guthrie, Progress in strip casting technologies for steel; technical developments, Isij International, 53 (2013) 729-742

DOI: 10.2355/isijinternational.53.729

Google Scholar

[4] A. Maleki, A. Taherizadeh, N. Hosseini, Twin Roll Casting of Steels: An Overview, Isij International, 57 (2017) 1-14

DOI: 10.2355/isijinternational.ISIJINT-2016-502

Google Scholar

[5] R.I.L. Guthrie, M.M. Isac, Continuous casting practices for steel: past, present and future, Metals, 12 (2022) 862

DOI: 10.3390/met12050862

Google Scholar

[6] M. Damen, C. Haase, J. Dierdorf, D.A. Molodov, G. Hirt, Twin-roll strip casting: A competitive alternative for the production of high-manganese steels with advanced mechanical properties, Materials Science and Engineering A, 627 (2015) 72-81

DOI: 10.1016/j.msea.2014.12.069

Google Scholar

[7] D. Wang, C. Zhou, A top side-pouring twin-roll caster for metals strips, Journal of Materials Processing Technology, 214 (2014) 916-924

DOI: 10.1016/j.jmatprotec.2013.12.001

Google Scholar

[8] D. Xuan, X. Liu, N. Xu, H. Guo, Z. Geng, Y. Wang, F. Xue, Annealing temperature effects on microstructure and magnetic properties of Fe-6.5wt.%Si alloy strips prepared by TSTRC process, Journal of Magnetism and Magnetic Materials, 600 (2024) 172141

DOI: 10.1016/j.jmmm.2024.172141

Google Scholar

[9] S. Sahoo, M. Bamberger, Review on vertical twin-roll strip casting: A key technology for quality strips, Journal of Sustainable Metallurgy, 8 (2016) 1-13

DOI: 10.1155/2016/1038950

Google Scholar

[10] Q. Li, Y. Zhang, L. Liu, P. Zhang, Y. Zhang, Y. Fang, Q. Yang, Effect of casting parameters on the freezing point position of the 304 stainless steel during twin-roll strip casting process by numerical simulation, Journal of Materials Science, 47 (2012) 3953-3960

DOI: 10.1007/s10853-012-6246-0

Google Scholar

[11] D. Kim, W. Kim, A.V. Kuznetsov, Analysis of coupled turbulent flow and solidification in the wedge-shaped pool with different nozzles during twin-roll strip casting, Numerical Heat Transfer A-Applications, 41 (2010) 1-17

DOI: 10.1080/104077802317221410

Google Scholar

[12] T. Mizoguchi, K. Miyazawa, Y. Ueshima, Relation between surface quality of cast strips and meniscus profile of molten pool in the twin roll casting process, Isij International, 36 (1996) 417-423

DOI: 10.2355/isijinternational.36.417

Google Scholar

[13] Y. Fang, Z. Wang, Q. Yang, Y. Zhang, L. Liu, H. Hu, Y. Zhang, Numerical simulation of the temperature fields of stainless steel with different roller parameters during twin-roll strip casting, International Journal of Mining and Materials Engineering, 16 (2009) 304-308

DOI: 10.1016/s1674-4799(09)60054-6

Google Scholar

[14] Y. Miao, X. Zhang, H. Di, G. Wang, Numerical simulation of the fluid flow, heat transfer, and solidification of twin-roll strip casting, Journal of Materials Processing Technology, 174 (2006) 7-13

DOI: 10.1016/j.jmatprotec.2005.01.002

Google Scholar

[15] J. Lu, L. Liu, W. Pan, W. Wang, K. Dou, New model for heat transfer of copper roller in twin-roll strip casting to assist experimental and industrial process, International Journal of Thermal Sciences, 213 (2025) 109826

DOI: 10.1016/j.ijthermalsci.2025.109826

Google Scholar

[16] Y. Zhang, Z. Li, Y. Tang, J. Kang, G. Yuan, G. Wang, Research on temperature field and thermal deformation characteristics of casting rollers in twin-roll casting process, Applied Thermal Engineering, 256 (2024) 124005

DOI: 10.1016/j.applthermaleng.2024.124005

Google Scholar

[17] D. Chen, Y. Tang, W. Dou, Z. Li, G. Yuan, Detecting height of liquid level with computer vision for twin-roll strip casting, Isij International, 63 (2023) 1226-1232

DOI: 10.2355/isijinternational.isijint-2022-352

Google Scholar

[18] W. Zhang, D. Ju, H. Zhao, X. Hu, Y. Zhang, W. Teng, Fuzzy controller optimized by genetic algorithm for the molten metal level in the twin roll strip casting process, Materials Science Forum, 833 (2015) 197-200

DOI: 10.4028/www.scientific.net/msf.833.197

Google Scholar

[19] H. Chen, Hybrid adaptive fuzzy and neural network controller for the molten steel level control in strip casting processes, Journal of Intelligent Systems, 27 (2014) 3123-3140

DOI: 10.1007/s12206-009-1212-8

Google Scholar

[20] H. Chen, S. Huang, Self-organizing fuzzy controller for the molten steel level control of a twin-roll strip casting process, Journal of Intelligent Manufacturing, 22 (2011) 619-626

DOI: 10.1007/s10845-009-0324-4

Google Scholar

[21] H. Chen, S. Huang, Adaptive neural network controller for the molten steel level control of strip casting processes, Journal of Mechanical Science and Technology, 24 (2010) 755-760

DOI: 10.1007/s12206-009-1212-8

Google Scholar

[22] H. Liu, Y. Wang, L. An, Z. Wang, D. Hou, J. Chen, G. Wang, Effects of hot rolled microstructure after twin-roll casting on microstructure, texture and magnetic properties of low silicon non-oriented electrical steel, Journal of Magnetism and Magnetic Materials, 420 (2016) 192-203

DOI: 10.1016/j.jmmm.2016.07.034

Google Scholar

[23] D. Lee, J.S. Lee, T. Kang, Adaptive fuzzy control of the molten steel level in a strip-casting process, Control Engineering Practice, 4 (1996) 1511-1520. Doi: 10.1016/0967-0661 (96)00165-7

DOI: 10.1016/0967-0661(96)00165-7

Google Scholar

[24] H. Chen, S. Huang, Adaptive radial basis function sliding-mode controller for the molten steel level control of strip casting processes, IEEE Transactions on Power Delivery, 36 (2010) 43-51

DOI: 10.1109/ICIEA.2010.5515513

Google Scholar

[25] Y. Park, H. Cho, A fuzzy logic controller for the molten steel level control of strip casting processes, Control Engineering Practice, 13 (2005) 821-834. Doi:10.1016/j.conengprac. 2004.09.006

DOI: 10.1016/j.conengprac.2004.09.006

Google Scholar

[26] D.S. Lee, J.S. Lee, T. Kang, Robust molten steel level control in a strip-casting process, Isij International, 45 (2005) 1165-1172

DOI: 10.2355/isijinternational.45.1165

Google Scholar

[27] Y.H. Kim, D.S. Lee, M.G. Joo, T. Kang, K.N. Paek, Control problem and solution in the steady state in the strip casting process, IEEE Transactions on Industry Applications, 37 (2001) 520-525

DOI: 10.1109/ISIE.2001.931847

Google Scholar

[28] R.E. Precup, H. Hellendoorn, A survey on industrial applications of fuzzy control, Computers in Industry, 62 (2011) 213-226

DOI: 10.1016/j.compind.2010.10.001

Google Scholar

[29] T. Mauder, C. Sandera, J. Stetina, Optimal control algorithm for continuous casting process by using fuzzy logic, Steel Research International, 86 (2015) 785-798

DOI: 10.1002/srin.201400213

Google Scholar

[30] R.S. Patil, S. Jadhav, M.D. Patil, Review of intelligent and nature-inspired algorithms-based methods for tuning PID controllers in industrial applications, Journal of Robotics and Control, 5 (2024) 336

DOI: 10.18196/jrc.v5i2.20850

Google Scholar

[31] P. Mohindru, Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants, Artificial Intelligence Review, 57 (2024) 97

DOI: 10.1007/s10462-024-10743-0

Google Scholar

[32] MathWorks. Field-Oriented Control of a Permanent Magnet Synchronous Machine, The MathWorks Inc., (2026).

Google Scholar

[33] B.K. Bose, Modern Power Electronics and AC Drives, Prentice Hall, (2002).

Google Scholar

[34] Y. Zhou, Y. Mao, D. Xuan, T. Jiang, W. Fan, B. Zhu, C. Zhou, Control of the molten steel level in the top side‐pouring twin‐roll casting process based on fuzzy rules optimized by particle swarm optimization algorithm. Steel Research International, 94 (2023) 2200953

DOI: 10.1002/srin.202200953

Google Scholar

[35] S. Bennett, Development of the PID controller, IEEE Control Systems Magazine, 13 (1993) 58-62

DOI: 10.1109/37.248006

Google Scholar

[36] S. Tzafestas, N.P. Papanikolopoulos. Incremental fuzzy expert PID control, IEEE Transactions on Industrial Electronics, 37 (1990) 365-371.

DOI: 10.1109/41.103431

Google Scholar