666
SECTION
4
PLC Process
Applications
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CHAPTER
14
Process Responses
and Transfer Functions
Process dynamics refers to changes in the process that occur due to distur-
bances or changes in the set point. Process gain changes are a result of gains
in the process variable value created by changes in the control variable output.
The dynamics of a process also includes dead time and lag time. Dead time
is the delay that occurs between the moment a change is made in the control
variable and the moment the process variable begins to react to the control
variable change. Lag time is the delay associated with the time required by the
process control loop to bring the process variable to the set point by adjusting
the final control element. The lag time is a finite time required by the control
system to physically adjust the final control element (e.g., a steam valve).
A transient is the process variable response to a change in set point or to the
creation of a disturbance (e.g., a load change). The transient response depends
not only on the dynamics of the process, but also on the characteristics of the
process itself. These characteristics are the result of the transfer functions of
the controller and the process. A transfer function is the mathematical
representation of a system’s response, where the response is computed by
dividing the output by the input. Transfer functions are expressed in the
frequency domain using Laplace transforms, to allow easy algebraic manipu-
lations of the equations. The inverse Laplace transform of a transfer function
converts a frequency-based Laplace response into a time-based response.
Each element in a control system loop has a transfer function associated with
it—the controller has one and the process has one. The combined controller/
process system also has a transfer function. Transfer functions are categorized
as either first-order or second-order responses. First-order systems have one
lag time associated with the process, while second-order systems have two lag
times. Laplace transforms are used to mathematically represent both first-
and second-order process transfer functions, as well as controller transfer
functions and the combination of both process and controller functions in a
closed-loop configuration. Although it is difficult to obtain the actual transfer
function of a process, a knowledge of the type of transfer function expected
from a process response is extremely useful, especially when tuning the
controller.
First-order systems have one lag time, resulting in an exponential, decaying
response. When the system receives a step input change, its open-loop
output will have the following time domain response, which smoothly
follows the input:
VV e
t
out in
=−
()
−
1
τ
The time constant τ specifies the time the output takes to achieve 63.2% of the
final steady-state value. The time constant τ is sometimes referred to as the
63% response time. After 5τ periods have elapsed, the value of the output