Authors:
Jörg Matthes
;
Patrick Waibel
;
Hubert B. Keller
and
Lutz Gröll
Affiliation:
Karlsruhe Institute of Technology, Germany
Keyword(s):
Model Identification, Process Control, Infrared Camera, Image Processing, Rotary Kiln, Waelz Process.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Engineering Applications
;
Image Processing
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
;
System Identification
;
System Modeling
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.
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