1 christer haugland, modeling and control of fertilizer granulation process christer haugland...
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![Page 1: 1 Christer Haugland, Modeling and Control of fertilizer granulation process Christer Haugland Supervisors: Sigurd Skogestad Vidar Alstad (Yara Technology](https://reader035.vdocuments.net/reader035/viewer/2022081506/56649f075503460f94c1ccb5/html5/thumbnails/1.jpg)
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Christer Haugland, Modeling and Control of fertilizer granulation process
Christer Haugland
Supervisors:
Sigurd Skogestad
Vidar Alstad (Yara Technology Center)
Modeling and Control of Fertilizer Granulation Process
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Outline
• Fertilizer and granulation• Process description• Modeling
– New crusher model
• Control– Re-tuned recycle mass flow controller
– Added particle size controller
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Fertilizer
• A major product in the world’s chemical industry• Keep up with the increasing food demand in the
world• One important process step in making fertilizer is
granulation.
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Granulation
• Granulation consist of solidifying fertilizer melt into small granules which can be used in the agriculture.
• Solid granule particles are about 3 mm in diameter.
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Process description• Feed:
• Slurry melt• Atomizing air
• Spherodizer: • Drying • Granulation
• Screen• Separation
based on size• Crusher
• Crush oversize
particles
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Spherodizer
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Recycle mass flow controller
• Split range controller
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Modeling
Old crusher model New crusher model
• Based on work done by Yara in MATLAB• Extended with new crusher model
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Control• Re-tuning of recycle mass flow controller• Based on open loop step response in model
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Re-tuning of recycle mass flow controller
• Two model approximations:
• First order plus delay:
• Pure delay:
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Re-tuning of recycle mass flow controller
• Gain variations in split range controller valves.
k2 = -670 k1 = -295
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• Process gain variations in MV’s:– Gain scheduling control (one controller for each MV)– Changing the split in the split range controller (usually set at 50%)
Gain scheduling:
Re-tuning of recycle mass flow controller
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• Comparing the two with a ”trial and error” approach:
Re-tuning of recycle mass flow controller
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Re-tuning of recycle mass flow controller• First order plus delay model: Not a good approximation!
SIMC rules:
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Re-tuning of recycle mass flow controller
• Comparing the two model approximations: Pure delay best!
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Particle size control
• Added another PI controller to control particle sizes in granulator loop. Vibration in screen as MV, D50 out of granulator as CV.
– But the MV saturated!!
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Particle size control
• Recycle mass flow controller
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Thank you!