PMC Lab
The Process Modelling & Control lab currently contains five working rigs. The Opto 22 unit is usually refered to as the sixth rig. Equipment on the rigs (and in the lab) is discussed in the lab equipment section. The lab manual is available here. New users wanting to set up computers and software should have a look at this page.
Rigs
For the rigs in the Tribology labs, see this page.
The acetone flashing rig is a four by four control problem. You can find the documentation here.
This rig demonstrates pH control. You can find the documentation here.
The temperature control rig was rebuilt by Ivan and David in 2005. You can find the documentation here.
Level and Flow is one of our favourite rigs. You can find the documentation here.
Distillation Columns
There are two distillation columns in the chemical engineering laboratories;
- documentation for the small distillation column (in the PM&C lab) can be found here.
- information on the column big distillation column (between the 3rd year labs and the PM&C lab) .
This unit, copied from a setup done by Ingvald Bårdsen under supervision of Espen Storkaas and Heidi Sivertsen at NTNU, models severe slugging behaviour in a pipeline/riser system.
- the original information is hosted at http://www.nt.ntnu.no/users/skoge/diplom/prosjekt03/bardsen/ (this will, if anything, improve your Norwegian)
- our lab documentation is available here.
This unit, intended to produce bio-oils from woody biomass, is still under construction by Stephen Swart and Prof. Heydenrych. It is intended to be completed by 2012, with the design outlined in Swart (2010). The documentation can be found here.
Lab equipment
Equipment for the rigs are (should be) documented on their respective pages. Some additional equipment in the PMC lab include;
Contact Details
MIMO modelling procedure
The data and the power should be sufficient so that the input affects the output enough. The system identification toolbox should be opened. The procedure fits for each output channel at a time All the input channels data along with the specific output channels data should be stored in a data object To create a object the input output data and sampling time should be given for Matlab's iddata function That data object should then be imported into the toolbox With this modeling tool there are different models that could be fitted For ease process models can be chosen that generate transfer function models.
