Controls Lab OnLine |
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Assignment #2 -- Developing the |
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Review: Last assignment you got the response of a system output when the input was constant. It would be good if you noticed that after a certain amount of time, the transient response disappeared and the output was constant (with possibly statistical noise variations). This latter, "constant," value is the "steady-state" output value for that input value.
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1. This assignment has you make several experiments. For each one, choose a different input value. Do this for about 10 different values of the input values, ranging from 0 to 100%. Since each time you click on "RUN EXPERIMENT" a new browser window is spawned, you can go back for each experiment to the data-input window easily and change only the value of the Input Function. |
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2. To do the experiments now, click on " Constant Input Value Experiments " Choose your system, then choose Constant Input Function As in Assignment 1, fill in your name, location & e-mail name and then select a "length of experiment" and value of the "Manipulated variable" |
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3. In Excel, make a new table that summarizes your results. Column A for "Input values" and column B for "Average output values" and column C for "Standard deviation." |
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4. Make a graph of these results. This graph of Output vs. Input we call the Steady-State Operating Curve (SSOC). Include the error bars for each data point. The error bars should be twice the standard deviation in order to indicate 95% confidence limits. Save this Excel sheet and chart. |
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5. Send an e-mail (report) within the next few days. (Click on "report" to get instructions.) |
Here are graphs of the results for three experiments run at 20%, 40% and 60% as the value of the Constant input.
Notice how the output value starts off near zero at time=0, increases for a few seconds and then levels off, more-or-less, to a steady value, even though it has fluctuations.
Here is a graph of the SSOC.
Notice how the output value increases as the input increases. These three points do not fall in a straight line, so we can observe that over this operating range (20% to 60%) the system is not linear.
**** CONTINUOUS IMPROVEMENT ***
contact Jim Henry - Lab-Master Send E-Mail to Jim Henry
Last revised 29 November 1997