The document discusses process control and control systems. It defines control as maintaining desired conditions in a system by adjusting variables. Control is necessary to maintain variables when disturbances occur and to respond to changes in desired values. For control to be possible, the process must be designed so it responds well dynamically. Control systems use measurements from sensors to calculate adjustments to manipulated variables via controllers and final control elements. The document outlines various control strategies and characteristics of effective control systems.
ncreased automation can help the pharmaceutical industry make more efficient usage of energy and raw materials; improve safety in working conditions; enhance regulatory compliance, and improve both product quality and consistency.
What is Controller, types of controllers How to Select the Right Controller ?Shahnawaz Merchant
A controller is a crucial part of an industrial automation system that manages and regulates the behavior of other devices or systems. It can be compared to the brain of a system, as it receives input, processes information, and sends commands to other parts of the system to achieve a desired outcome.
Fuzzy based control using labview for miso temperature processeSAT Journals
Abstract This project aims at designing and implementing a fuzzy controller for Multiple Input Single Output temperature process. Temperature control of water in the tank is achieved by varying current to the heating rod and inlet flow rate by a fuzzy controller. The system consists of a tank, reservoir, variable speed pump, temperature sensor placed inside a heating tank containing the heating rod, voltage controlled current source and computer. Water is pumped into the tank from reservoir and RTD measures the current temperature. The signal from the temperature sensor is sent to the DAQ interfaced to the computer. LabVIEW software is used to acquire the input signal and send the output signal that is determined by the control algorithm. Fuzzy logic controller is designed in LabVIEW. Based on the set point temperature, the controller sets the appropriate current to the heating rod. If the required temperature is less than that sensed by the temperature sensor, the flow rate of water into the tank is controlled by a variable speed pump. While conventional controllers are analytically described by a set of equations, the FLC is described by a knowledge-based algorithm. Thus this system is highly efficient in both heating and reducing the temperature of the tank. A fuzzy logic controller gives faster response, is more reliable and recovers quickly from system upsets. It also works well to uncertainties in the process variables and it does not require mathematical modelling.
Fuzzy based control using lab view for miso temperature processeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Process Control Fundamentals and How to read P&IDsAhmed Deyab
Types of Process Control, Feedback control, feed-forward control loops, ratio control loop, split range control. How to read Piping and Instrumentation Diagram for Process Engineers
ncreased automation can help the pharmaceutical industry make more efficient usage of energy and raw materials; improve safety in working conditions; enhance regulatory compliance, and improve both product quality and consistency.
What is Controller, types of controllers How to Select the Right Controller ?Shahnawaz Merchant
A controller is a crucial part of an industrial automation system that manages and regulates the behavior of other devices or systems. It can be compared to the brain of a system, as it receives input, processes information, and sends commands to other parts of the system to achieve a desired outcome.
Fuzzy based control using labview for miso temperature processeSAT Journals
Abstract This project aims at designing and implementing a fuzzy controller for Multiple Input Single Output temperature process. Temperature control of water in the tank is achieved by varying current to the heating rod and inlet flow rate by a fuzzy controller. The system consists of a tank, reservoir, variable speed pump, temperature sensor placed inside a heating tank containing the heating rod, voltage controlled current source and computer. Water is pumped into the tank from reservoir and RTD measures the current temperature. The signal from the temperature sensor is sent to the DAQ interfaced to the computer. LabVIEW software is used to acquire the input signal and send the output signal that is determined by the control algorithm. Fuzzy logic controller is designed in LabVIEW. Based on the set point temperature, the controller sets the appropriate current to the heating rod. If the required temperature is less than that sensed by the temperature sensor, the flow rate of water into the tank is controlled by a variable speed pump. While conventional controllers are analytically described by a set of equations, the FLC is described by a knowledge-based algorithm. Thus this system is highly efficient in both heating and reducing the temperature of the tank. A fuzzy logic controller gives faster response, is more reliable and recovers quickly from system upsets. It also works well to uncertainties in the process variables and it does not require mathematical modelling.
Fuzzy based control using lab view for miso temperature processeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Process Control Fundamentals and How to read P&IDsAhmed Deyab
Types of Process Control, Feedback control, feed-forward control loops, ratio control loop, split range control. How to read Piping and Instrumentation Diagram for Process Engineers
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
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Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
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2. Introduction
In any industrial plant the aim is to produce
standard and high quality products and sell
them at prices which make profit. These
purposes can be achieved in a successfully
designed and controlled processes.
4. Optimization: combination of several
variables together with most suitable
conditions.
Optimum conditions are important for
Continuity
Quality
Economics
of processes.
“main variable”
5. Important Characteristics of Process Control
Systems
1. The focus of the engineer must be on the process.
(Pc)
2. The dynamic behavior of the individual units and
the process as a whole is to be understood.
3. It is always the best to utilize the simplest control
system that will achieve the desired objectives.
4. The design of a process determines how it will
respond dynamically and how it can be controlled.
6. CONTROL: To maintain desired conditions in a
physical system by adjusting selected
variables in the system.
Some Examples:
Consider the continuously
mixed heating tank.
Where aim is to provide
constant temperature for
the output fluid.
7. Consider a person driving an automobile
with an objective of staying in a specific
lane.
•Determine the location of the automobile
•Determine or calculate the change required to maintain the
automobile at its desired position on the road
•Change the position of the steering wheel by the amount
calculated to bring about the necessary correction.
8. Consider a
house in a cold
climate which is
to be maintained
near a desired
temperature by
circulating hot
water through a
heat exchanger
•Temperaturere of the room is determined by a thermostat
•This temperature is compared with the desired temperature or range of
temperature
•If the temperature is below than the desired, the furnace and the pump
are turned on; if the temperature is above the furnace and pump are
turned off.
10. input output
Input refers to a variable that causes an output.
• Driving example;
input: steering wheel position
output: position of the automobile
• Heated room example;
input: fuel to the furnace
output: room temperature
11. In any process desired value is
defined based on Control Objectives
Control Objectives:
1. Safety
2. Environmental Protection
3. Equipment Protection
4. Smooth Plant Operation and Production Rate
5. Product Quality
6. Profit Optimization
7. Monitoring and Diagnosis
12. Important Characteristics of Process
Control Systems
1) Focus of the engineers must be on the process.
(Pc)
2) The dynamic behavior of the individual units and
the process as a whole is to be understood.
3) It is always best to utilize the simplest control
system that will achieve the desired objectives
4) The design of a process fundamentally determines
how it will respond dynamically and how it can be
controlled.
13. 1.What does a control system
do?
Control: To maintain desired conditions in a physical
system by adjusting selected variables in the
system.
In control Systems:
• A specific value or range is used as a desired value
for the controlled variable
• The conditions of the system are measured
• Each system has a control calculation or algorithm
• The results of calculation are implemented by final
control element
14. Control Types
• Feedback Control; uses direct measurements of the
controlled variables to adjust the values of the
manipulated variables. The objective is to keep the
control variables at desired levels.
• Feedforward Control; uses direct measurement of
the disturbances to adjust the values of the
manipulated variables. The objective is to keep the
controlled output variables at desired levels.
• Cascade Control; different combinations of two
types
15. 2. Why is Control Necessary?
There are two main reasons for control.
The first reason for control is to maintain the
measured variable at its desired value when
disturbances occur.
The second reason for control is to respond
to changes in the “desired value”.
In the analysis of plant operation the desired
values are determined by control objectives.
16. 3. Why is Control Possible?
The proper design of plant equipment is essential
for plant control to be possible and for control to
provide good dynamic performance.
Sensors should be
• Correct
• Fast
• With enough capacity.
which are based on adequate equipment design.
17. 4. How is Control Done?
A process can be controlled either by human
beings manually or by necessary
instrumentation automatically.
• Automobile driving example; feedback control
by human action
• Most automatic control is implemented with
electronic equipment which uses levels of
current or voltage to represent values to be
communicated.
18. 5. Where is Control
Implemented?
Control items as sensors and final control elements
are in the process and displays and control
calculations might be both in the process and in the
centralized control facility.
Generally the plant never operates on “automatic pilot”
and a person is always present
• to perform tasks not automated
• to optimize operations
• to interfere with situations when an unusual or
dangerous situation occurs.
19. 6. What Does Control
Engineering “Engineer”?
1. Process Design
2. Measurements
3. Final Control Elements
4. Control Structure
5. Control Calculations
20. 6.1. Process Design
A key factor in control engineering is the
design of the process so that it can be
controlled well. For this purpose systems
should be responsive and few disturbances
should occur.
“A responsive control system” means the
controlled variable responds quickly to
adjustments in the manipulated variable.
Frequency and magnitude of disturbances
should be reduced.
21. 6.2. Measurements
The important decisions are
• selection
• location
of the sensors.
“one can control only what is measured”
The engineer should select sensors that
measure important variables rapidly, reliably
and with sufficient accuracy.
22. 6.3. Final Control Elements
Final control elements provide the necessary
changes in manipulated variables which are
determined by control calculations. The
selection of best final control element and
selection of the location are important
considerations.
23. 6.4. Control Structure
The engineer must decide some very basic
issues in designing a control system.
This is similar to adjusting either the hot or
cold water valve opening to control the
temperature of water in a shower or making
this directly on the heating source.
24. 6.5. Control Calculations
After the variables and control structure have
been selected the model equations are
developed which use the measured and
desired values in calculating the change in
manipulated variable.
25. 7. How is Process Control
Documented?
The studies on process control system should
be documented in order to be
a. understandable
b. stable
In order to avoid misunderstanding , standard
symbols developed by Instrument Society of
America (ISA) are used.
26. In standard Drawing:
• all process equipment is drown in solid lines
• sensors are designated by a circle connected to the
point in the process where they are located
• process control loops are shown by dashed lines.
27. The first letter in the
instrumentation symbol
indicates the type of
variable measured
The subsequent letter(s)
give information about
the function performed.
A analyzer
F Flow rate
L Level of liquid or solid
P Pressure
T temperature
28. 8. What are Some Simple
Control Strategies?
In the plant there exist a large number of
possibilities for placing sensors and final
control elements.
Every process control system is to be
verified for;
i. Casual process relationship
ii. Determination of the action the controller
would take in response to a disturbance or
a change in desired value.
29. PROCESS CONTROL LAWS !
First Law: The best control system is the
simplest one that will do the job.
Second Law: You must understand the
process before you can control it.
Third Law: The control is never possible if
the mathematical model can not be
developed.
30. Behavior of System Variables
1. In process control two types of variables exist
i. Manipulated variables, which can be adjusted
ii. Controlled variables, which are affected by the adjustments.
2. There exists a specified range for the variables.
3. The effectiveness of control to maintain the process at desired
conditions depends on;
i. Sign and magnitude of response
ii. Speed of response
iii. Shape of response
4. The analysis of the possible variations in the system and
sensitivity of the dynamic behavior to those variations are
important in the modeling.
32. If the inlet process temperature decreases,
thus creating a disturbance, its effect must
propagate through the heat exchanger before
the outlet temperature decreases. Once this
temperature changes, the signal from
transmitter to the controller also changes. It is
then that the controller becomes aware that a
deviation from set-point has occurred and
that it must compensate for the disturbance
by manipulating the steam valve. The
controller then signals the valve to increase
its opening and thus increase the steam flow.
33. The advantage of feedback control is that it is
a very simple technique that compensates for
all disturbances. Any disturbance affects the
controlled variable and once this variable
deviates from set point , the controller
changes its input in such a way as to return
the temperature to the set point.
The feedback loop does not know, nor does it
care, which disturbance enters the process. It
tries only to maintain the controlled variable
at set point and in so doing compensates for
all disturbances.
34. The feedback controller works with minimum
knowledge of the process. In fact, the only
information it needs is in which direction to
move. How much to move is usually adjusted
by trial and error.
Feedback control is the most common control
strategy in the process industries. Its
simplicity accounts for its popularity.
35. The disadvantage of feedback control is that it
can compensate for a disturbance only after
the controlled variable has deviated from set
point. That is, the disturbance must
propagate through the entire process before
the feedback control scheme can initiate
action to compensate it.
37. The objective of feed forward control is to measure
the disturbances and compensate for them before
the controlled variable deviates from set point. If
applied correctly, the controlled variable deviation
would be minimum.
Suppose that in heat exchanger example the major
disturbance is the inlet temperature. To implement
feed forward control the disturbance first must be
measured and then a decision is be made how to
manipulate the steam to compensate for this
change.
38. The complements of process control to
engineering implies that for a good control
design is important and is a result of a
hierarchy of control objectives which depend
on the operating objectives for the plant.
We would like processes to run at the
designed steady state, however processes
would not.
39. In designing control systems or strategies the
dynamic behavior of the process is very
important, therefore we should have
knowledge about process dynamics and
modeling.
41. FINAL CONTROL SYSTEM
Control
Objectives
Develop
Process Model
Devise Control
Strategy
Select hardware
and software
Install Control
System
Adjust Controller
Settings
Available
Information
Physical and
Chemical Principles
Process Control
Theory
Experience
Management
Objectives
Computer
Simulation
Available
Data
Computer
Simulation
Vendor
Information
Engineering Activity
Information Base
42. Example 1
steam
F, T
Fi, Ti
h
Fst
Consider the tank heating system
shown in the figure.
A liquid enters the tank with a
flow rate Fi (ft3/min) and a
temperature of Ti (0F) where it is
heated with steam having a flow
rate of Fst (lb/min). Let F and T
be the flow rate and temperature
of the stream leaving the tank.
The tank is considered to be well
stirred, which implies that the
temperature of the effluent is
equal to the temperature of the
liquid in the tank.
43. The control objectives of this heater are:
1. To keep the effluent temperature T at the desired
value Ts.
2. To keep the volume of the liquid in the tank at a
desired value Vs.
The operation of the heater is disturbed by external
factors such as changes in the feed flow rate Fi
and temperature Ti. ( If nothing changed, then after
attaining T=Ts and V=Vs we could leave the
system alone without any supervision and control.
44. F, T
Fi, Ti
Thermocouple
Controller
Set-point
A thermocouple measures
the temperature of the fluid in
the tank. Then this
temperature is compared
with the desired value
yielding a deviation
ε = Ts – T
The value of deviation is sent
to a control mechanism
which decides what must be
done in order for the
temperature to turn back to
the desired value.
45. F, T
Fi, Ti
Thermocouple
Controller
Set-point
Notice that feed
forward control does
not wait until the
effects of the
disturbances has been
felt by the system, but
acts appropriately
before the external
disturbance affects the
system anticipating
what its effect will be.
46. F, T
Fi, Ti
Level Measuring
Device
Controller
To keep the
volume at its set
point or the liquid
level hs we
measure the level
of the liquid in the
tank and we open
or close the
effluent flow rate.
hs
49. For this example;
• input variables are: Fi, Ti and Fst (which
denote the effect of surroundings on the
process)
• output variables are: F, V and T (which
denote the effect of process on the
surroundings)
50. The input variables can be further classified
into the following categories:
1. Manipulated (or adjustable) variables, if
their values can be adjusted freely by the
human operator or a control mechanism.
2. Disturbances, if their values are not the
result of adjustment by an operator or a
control system.
51. The output variables are also classified into
the following categories;
1. Measured output variables, if their values
are known by directly measuring them.
2. Unmeasured output variables, if they are
not or cannot be measured directly.
52. For any system, definition of
manipulated and controlled variables
can only be made depending on
specified control structures.