Compre Flashcards
Advantages of automatic control of a process
- Enhanced process safety
- Satisfying environmental constraints
- Meeting ever-stricter product quality specifications
- More efficient use of raw materials and energy
- Increased profitability
Control systems
used to maintain process conditions at their desired values by manipulating certain process variables to adjust the variables of interest.
common attributes of control systems
- The ablity to maintain the process variable at its desired value in spite of disturbances that might be experienced (this is termed disturbance rejection)
- The ability to move the process variable from one setting to a new desired setting (this is termed set point tracking)
The concept of using information about the deviation of the system from its desired state to control the system
feedback control
type of control system where the controller automatically acts to return the controlled variable to its desired value
closed-loop feedback control system
type of control system where the measurement signal is disconnected from the controller, and the controller output has to be manually adjusted to change the value of the controlled variable
open-loop feedback control system
manual mode system
open-loop feedback control system
automatic mode system
closed-loop feedback control system
most common type of signal feedback
Negative feedback
the error signal is computed from the difference between the set point and the measured signal
Negative feedback
The negative value of the measured signal is “fed back” to the controller and added to the set point to compute the error.
type of control where the controller should change the heat input by an amount proportional to the error
proportional control
integral control: controller response
The controller is instructed to change the heat input by an additional amount proportional to the time integral of the error.
two adjustable parameters of integral control
a multiplier for the error and a multiplier for the integral of the error
disadvantage of integral control
the system has a tendency to be more oscillatory
apparent error
the controller receives measured values of the temperature, rather than the actual values
type of reponse where the control system has actually caused a deterioration in performance due to the increase in the controller gain (the proportionality constants), which makes the tank temperature oscillate with increasing amplitude until the physical limitations of the heating system are reached.
unstable response
Diagram that indicates the flow of information around the control system and the function of each part of the system.
Block diagram
The process variable that we want to maintain at a particular value.
Controlled variable
A device that outputs a signal to the process based on the magnitude of the error signal.
Controller
One goal of a control system, which is to enable the system to “reject” the effect of disturbance changes and maintain the controlled variable at the set point.
Disturbance rejection
Any process variables that can cause the controlled variable to change.
Disturbances
variables that we have no control over
Disturbances
Process variable that is adjusted to bring the controlled variable back to the set point.
Manipulated variable
the error is the difference between the set point and the measured variable
Negative feedback
The steady-state value of the error
Offset
the measured value of the controlled variable is not fed back to the controller
Open loop
the measured temperature is added to the set point
Positive feedback
The desired value of the controlled variable.
Set point
One goal of a control system, which is to force the system to follow or “track” requested set point changes.
Set point tracking
The Laplace transform of a function f (t)
F(s) = L{f(t)}
the time when the process is disturbed from steady state
t = 0
Mercury thermometer assumptions
- All the resistance to heat transfer resides in the film surrounding the bulb (i.e., the resistance offered by the glass and mercury is neglected).
- All the thermal capacity is in the mercury. Furthermore, at any instant the mercury assumes a uniform temperature throughout.
- The glass wall containing the mercury does not expand or contract during the transient response.
Mercury thermometer energy balance
hA(x-y) = mC(dy/dt)
the rate of flow of heat through the film resistance surrounding the bulb causes the internal energy of the mercury to increase at the same rate
The increase in internal energy of the mercury is manifested by what
The increase in internal energy is manifested by a change in temperature and a corresponding expansion of mercury, which causes the mercury column, or “reading” of the thermometer, to rise.
What are deviation variables
the differences between the variables and their steady-state values
X = x - xs
Y = y - ys
time constant symbol and units
tau; units of time
time constant of a mercury thermometer
tau = mC/hA
m - mass of mercury , kg
C - heat capacity , J/(kg K)
h - film coefficient, W/(K m^2)
A - surface area, m^2
(thermometer) transfer function definition
It is the ratio of the Laplace transform of the deviation in thermometer reading (output) to the Laplace transform of the deviation in the surrounding temperature (input).
Any physical system for which the relation between Laplace transforms of input and output deviation variables is of the form given by the transfer function 1/(Ts+1)
first-order system
Synonyms for first-order systems
first-order lag
single exponential stage
The naming of all these terms is motivated by the fact that the transfer function results from a first-order, linear differential equation,
X - Y = T(dY/dt)
standard first-order transfer function
Y(s)/X(s) = Kp / (Ts+1)
The important characteristics of the standard form of the transfer function
- The denominator must be of the form Ts+1.
- The coefficient of the s term in the denominator is the system time constant T.
- The numerator is the steady-state gain Kp .
steady-state value that the system attains after being disturbed by a unit-step input
steady-state gain Kp
PROPERTIES OF TRANSFER FUNCTIONS
In general, a transfer function relates two variables in a physical process; one of these is the cause (forcing function or input variable), and the other is the effect (response or output variable). In terms of the example of the mercury thermometer, the surrounding temperature is the cause or input, whereas the thermometer reading is the effect or output.
The transfer function completely describes the dynamic characteristics of the system.
input -> G(s) -> output
The transfer function results from a linear differential equation; therefore, the principle of superposition is applicable.
Forcing function
input, X(s)
Response
output, Y(s)
common forcing functions
step, impulse, ramp, and sinusoidal functions
This function increases linearly with time
RAMP FUNCTION
radian frequency w relation to the frequency f
The radian frequency w is related to the frequency f in cycles per unit time by
w = 2(pi)f
step response features
- The value of Y ( t) reaches 63.2 percent of its ultimate value when the time elapsed is equal to one time constant t. When the time elapsed is 2 t, 3 t, and 4 t, the percent response is 86.5, 95, and 98, respectively. From these facts, one can consider the response essentially completed in three to four time constants.
- The slope of the response curve at the origin is 1. This means that if the initial rate of change of Y(t) were maintained, the response would be complete in one time constant.
- A consequence of the principle of superposition is that the response to a step input of any magnitude A may be obtained directly from Fig. 4–7 by multiplying the ordinate by A. Figure 4–7 actually gives the response to a unit-step function input, from which all other step responses are derived by superposition.
A resistance that has a linear relationship between flow and head, q = h/R
linear resistance
When is a pipe a linear resistance
A pipe is a linear resistance if the flow is in the laminar range.
holding tank mass balance
(rho) q(t) - (rho) q0(t) = (rho) A dh/dt
what is the term R in holding tanks
conversion factor that relates h(t) to q(t) when the system is at steady state
dimensions of the steady-state gain for the transfer function
Q0(s)/Q(s) = 1/(Ts+1)
dimensionless
the input variable q (t) and the output variable qo (t) have the same units (volume/time)
a pulse of unit area as the duration of the pulse approaches zero
unit-impulse function
a system that grows without limit for a sustained change in input is said to have what
nonregulation
systems that have a limited change in output for a sustained change in input are said to have what
regulation
Self-regulating process example
An example of a system having regulation is the step response of a first-order system. If the inlet flow to the process is increased, the level will rise until the outlet flow becomes equal to the inlet flow, and then the level stops changing.
a transient mass balance around a holding tank
Rate of mass flow in - Rate of mass flow out = Rate of accumulation of mass in tank
transient mass balance for the salt in a mixing tank
Flow rate of salt in - Flow rate of salt out = Rate of accumulation of salt in tank
mixing tank mass balance in terms of symbols
qx - qy = V dy/dt