Camera based Identification and Control of the Waelz Process
Jörg Matthes, Patrick Waibel, Hubert B. Keller, Lutz Gröll
2016
Abstract
TheWaelz process is the most common technique for the pyro-metallurgical treatment of zinc-bearing residues using a rotary kiln. However, this process will only result in a good zinc recovery, if the temperature of the material (slag) within the kiln is controlled at specific optimal setpoints depending on the material mixture. Until now, slag temperature measurement is carried out by pyrometers which give only pointwise information that can be disturbed by cold slag lumps. Additionally, the temperature control is performed only manually by operators, who have to adapt the amount of process air frequently to keep the process stable at the desired setpoints. In this paper an infrared-camera based measurement of the slag temperature using image processing techniques is presented. Based on that temperature measurement a process model is conducted. Its parameters are estimated by a model-output-error based process identification. The process model is used for the tuning of parameters of an automatic closed loop control. Finally, results from an industrial application of the new camera based slag temperature control are given.
References
- A°ström, K. and Hägglund, T. (2006). Advanced PID Control. ISA-The Instrumentation, Systems, and Automation Society.
- Boateng, A. (2015). Rotary Kilns: Transport Phenomena and Transport Processes. Elsevier Science.
- Brox, T., Bruhn, A., Papenberg, N., and Weickert, J. (2004). High accuracy optical flow estimation based on a theory for warping. In Computer Vision - ECCV 2004, volume 3024 of Lecture Notes in Computer Science, pages 25-36. Springer.
- He, M., Zhang, J., and Liu, X. (2009). Determination of the repose angle of stuff in rotary kiln based on imaging processing. In 9th International Conference on Electronic Measurement & Instruments (ICEMI) 2009, pages 4-97-4-101.
- Lagarias, J. C., Reeds, J. A., Wright, M. H., and Wright, P. E. (1998). Convergence properties of the neldermead simplex method in low dimensions. SIAM Journal of Optimization, 9:112-147.
- Matthes, J., Waibel, P., and Keller, H. B. (2011). A new infrared camera-based technology for the optimization of the waelz process for zinc recycling. Minerals Engineering, 24(8):944-949.
- Rütten, J. (2006). Application of the waelz technology on resource recycling of steel mill dust. SEAISI Quarterly (South East Asia Iron and Steel Institute), 35:13-19.
- Saage, E., Hasche, U., Dittrich, W., and Langbein, D. (2002). Method of utilizing secondary raw materials containing iron, zinc and lead. US Patent 6,494,933.
- Waibel, P., Matthes, J., and Keller, H. B. (2010). Segmentation of the solid bed in infrared image sequences of rotary kilns. In Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics (ICINCO), pages 217-220.
Paper Citation
in Harvard Style
Matthes J., Waibel P., Keller H. and Gröll L. (2016). Camera based Identification and Control of the Waelz Process . In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-198-4, pages 291-298. DOI: 10.5220/0005957402910298
in Bibtex Style
@conference{icinco16,
author={Jörg Matthes and Patrick Waibel and Hubert B. Keller and Lutz Gröll},
title={Camera based Identification and Control of the Waelz Process},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2016},
pages={291-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005957402910298},
isbn={978-989-758-198-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Camera based Identification and Control of the Waelz Process
SN - 978-989-758-198-4
AU - Matthes J.
AU - Waibel P.
AU - Keller H.
AU - Gröll L.
PY - 2016
SP - 291
EP - 298
DO - 10.5220/0005957402910298