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[Luyben] Process Mod.. - Student subdomain for University of Bath

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12 PROCESS MODELING, SIMULATION, AND CONTROL FOR CHEMICAL ENGINEERS<br />

No degree <strong>of</strong> sophistication in the control system (be it adaptive control,<br />

Kalman filters, expert systems, etc.) will work if you do not know how your<br />

process works. Many people have tried to use complex controllers to overcome<br />

ignorance about the process fundamentals, and they have failed! Learn how the<br />

process works be<strong>for</strong>e you start designing its control system.<br />

1.6.2 Languages <strong>of</strong> <strong>Process</strong> Control<br />

As you will see, several different approaches are used in this book to analyze the<br />

dynamics <strong>of</strong> systems. Direct solution <strong>of</strong> the differential equations to give functions<br />

<strong>of</strong> time is a “time domain” technique. Use <strong>of</strong> Laplace trans<strong>for</strong>ms to characterize<br />

the dynamics <strong>of</strong> systems is a “Laplace domain” technique. Frequency<br />

response methods provide another approach to the problem.<br />

All <strong>of</strong> these methods are useful because each has its advantages and disadvantages.<br />

They yield exactly the same results when applied to the same<br />

problem. These various approaches are similar to the use <strong>of</strong> different languages<br />

by people around the world. A table in English is described by the word<br />

“TABLE.” In Russian a table is described by the word “CTOJI.” In Chinese a<br />

table is “ $ 5.” In German it is “der Tisch.” But in any language a table is still<br />

a table.<br />

In the study <strong>of</strong> process dynamics and control we will use several languages.<br />

English = time domain (differential equations, yielding exponential time<br />

function solutions)<br />

Russian = Laplace domain (transfer functions)<br />

Chinese = frequency domain (frequency response Bode and Nyquist plots)<br />

Greek = state variables (matrix methods applies to differential equations)<br />

German = z domain (sampled-data systems)<br />

You will find the languages are not difficult to learn because the vocabulary that<br />

is required is quite small. Only 8 to 10 “words” must be learned in each language.<br />

Thus it is fairly easy to translate back and <strong>for</strong>th between the languages.<br />

We will use “English” to solve some simple problems. But we will find that<br />

more complex problems are easier to understand and solve using “Russian.” AS<br />

problems get even more complex and realistic, the use <strong>of</strong> “Chinese” is required.<br />

So we study in this book a number <strong>of</strong> very useful and practical process control<br />

languages.<br />

I have chosen the five languages listed above simply because I have had<br />

some exposure to all <strong>of</strong> them over the years. Let me assure you that no political<br />

or nationalistic motives are involved. If you would prefer French, Spanish,<br />

Italian, Japanese, and Swahili, please feel free to make the appropriate substitutions!<br />

My purpose in using the language metaphor is to try to break some <strong>of</strong> the<br />

psychological barriers that students have to such things as Laplace trans<strong>for</strong>ms<br />

and frequency response. It is a pedagogical gimmick that I have used <strong>for</strong> over<br />

two decades and have found it to be very effective with students.

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