CM3310
Project 2.
Due: February 26, 2001
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PID Controller Tuning
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Using the process "SYSTEM A" simulated through the link, http://www.chem.mtu.edu/~tbco/cm416/newpida.html,
apply the three tuning methods namely a) Ziegler-Nichols Method, b) Autotune
Relay Method and c) Cohen-Coon Method. ( Submit the plots used for the
determination of the controller parameters, as well the final controlled
process, for each method. )
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Using the process "SYSTEM B" simulated through the link, http://www.chem.mtu.edu/~tbco/cm416/newpidb.html,
apply the tuning methods of Ziegler-Nichols and the Autotune Relay Method.
( Submit the plots used for the determination of the controller parameters,
as well the final controlled process, for each method. )
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Process Modeling
Using the process from SYSTEM B ( http://www.chem.mtu.edu/~tbco/cm416/newpidb.html
),
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Data Gathering:
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Under manual mode, set the input to 0.0 and wait for steady state.
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Invoke a step change in the input to 1.0
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After around 50 time units elapse, invoke an opposite step change in the
input to 0.0
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After approximately 45 time units elapse, click on the PAUSE button. (You
will need a flat portion on the front of your output plot as shown below.)
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Click the DATA button and the data window should appear.
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Inside the data window, right click on your mouse to the SELECT ALL option.
(If you are using Internet Explorer, you need to select the block
of data by click-dragging the mouse. Then use
CTRL-C to copy and CTRL-V to paste data into Excel)
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Right click on your mouse to COPY to the clipboard.
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Open an Excel spreadsheet and PASTE the contents from the clipboard.
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Use the Excel spreadsheet (with SOLVER) to estimate a second order model
that would closely fit the data obtained from the previous step. (For a
quick tutorial, go to http://www.chem.mtu.edu/~tbco/cm416/modest.html).
(Submit at least the top part of your spreadsheet which shows the setup
and first few entries of the various columns.)
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Write down the model which the SOLVER obtained. Also, show the plots of
the data together with the predicted/estimated values.