Types of Controllers
Process control_ mechatronics engineering.
Control system is a combination of various elements connected as a unit to direct or regulate itself or any other system in order to provide a specific output is known as a Control system.
Components of a Control System
1.Controlled process: The part of the system which requires controlling is known as a controlled process.
2. Controller: The internal or external element of the system that controls the process is known as the controller.
3. Input: For every system to provide a specific result, some excitation signal must be provided. This signal is usually given through an external source. So, the externally provided signal for the desired operation is known as input.
TYPES OF DISTURBANCE:
1.an internal disturbance is generated within the system. 2.an external disturbance is generated outside the system and is an input.
Types of Control System:
1.Open loop control systems in this control system the
output is neither measured nor fed back for comparison
with the input.
2.Closed loop control systems in this control system the
actuating error signal, which is the difference between
the input signal and the feedback signal, is fed to the
controller so as to reduce the error and bring the output
of the system to a desired value.
PID
The PID control scheme is named after its three correcting terms, whose constitutes the manipulated variable (MV). The proportional, integral, and derivative terms are summed to calculate the output of the PID controller.
contents:
Ziegler-Nichols Closed-loop method.
Instrument Symbols.
continuous-mode controllers.
Proportional controller.
Derivative controller and another.
created by :Anaseem Alhanni.
University :Al- Balqa' Applied University (BAU).
The ability to tune a PID loop manually is an art that is quickly becoming scarce, but, like driving a car with a stick shift, it can be very helpful in the right circumstance. In industrial processes automation, most modern control loops are equipped with an auto-tuning algorithm, but in spite of this, there are some loops these automated methods cannot tame.
Having knowledge of the different tuning elements and how to adjust them can help you bring these unruly loops under control. If you have the responsibility to keep the processes running at your plant or factory, this webinar will help you better understand the basics of PID control.
In this webinar you will learn:
The purpose of each of the PID tuning elements
How adjusting the individual PID elements will affect the process
General PID profiles for pressure / flow loops
General PID profiles for temperature loops
An explanation of some supporting parameters like cycle time, manual reset, and anti-reset windup
Chapter 1 basic components of control systemHarish Odedra
This presentation is on basic of control engineering subject which is offered to 5th sem Mechanical Engineering Department in Gujarat Technological University.
The ability to tune a PID loop manually is an art that is quickly becoming scarce, but, like driving a car with a stick shift, it can be very helpful in the right circumstance. In industrial processes automation, most modern control loops are equipped with an auto-tuning algorithm, but in spite of this, there are some loops these automated methods cannot tame.
Having knowledge of the different tuning elements and how to adjust them can help you bring these unruly loops under control. If you have the responsibility to keep the processes running at your plant or factory, this webinar will help you better understand the basics of PID control.
In this webinar you will learn:
The purpose of each of the PID tuning elements
How adjusting the individual PID elements will affect the process
General PID profiles for pressure / flow loops
General PID profiles for temperature loops
An explanation of some supporting parameters like cycle time, manual reset, and anti-reset windup
Chapter 1 basic components of control systemHarish Odedra
This presentation is on basic of control engineering subject which is offered to 5th sem Mechanical Engineering Department in Gujarat Technological University.
A proportional–integral–derivative controller (PID controller) is a control loop feedback mechanism (controller) commonly used in industrial control systems. A PID controller continuously calculates an error value as the difference between a measured process variable and a desired setpoint.
This Course basics of instrumentation and control systems used in oil and gas and petrochemical industry,
The course the following topics
Basics of Instrumentation
Field Instruments
Control Valves
Process Control
Control systems
automatic control, Basic Definitions, Classification of Control systems, Requ...Waqas Afzal
Why automatic controls is required
2. Process Variables
controlled variable, manipulated variable
3. Functions of Automatic Control
Measurement
Comparison
Computation
Correction
4.Basic Definitions
System, Plant, Process, Controller, input, output, disturbance
5. Classification of Control systems
Natural, Manmade & Automatic control system
Open-Loop, Close-Loop control System
Linear Vs Nonlinear System
Time invariant vs Time variant
Continuous Data Vs Discrete Data System
Deterministic vs Stochastic System
6. Requirements of an ideal Control system
Accuracy, Sensitivity, noise, Bandwidth, Speed, Oscillations
Instrumentation and process control fundamentalshossam hassanein
Basic course covers:
-Basic understanding of process control
-Important process control terminology
-Major components of a process loop
-Instrumentation P&ID symbols
A proportional–integral–derivative controller (PID controller) is a control loop feedback mechanism (controller) commonly used in industrial control systems. A PID controller continuously calculates an error value as the difference between a measured process variable and a desired setpoint.
This Course basics of instrumentation and control systems used in oil and gas and petrochemical industry,
The course the following topics
Basics of Instrumentation
Field Instruments
Control Valves
Process Control
Control systems
automatic control, Basic Definitions, Classification of Control systems, Requ...Waqas Afzal
Why automatic controls is required
2. Process Variables
controlled variable, manipulated variable
3. Functions of Automatic Control
Measurement
Comparison
Computation
Correction
4.Basic Definitions
System, Plant, Process, Controller, input, output, disturbance
5. Classification of Control systems
Natural, Manmade & Automatic control system
Open-Loop, Close-Loop control System
Linear Vs Nonlinear System
Time invariant vs Time variant
Continuous Data Vs Discrete Data System
Deterministic vs Stochastic System
6. Requirements of an ideal Control system
Accuracy, Sensitivity, noise, Bandwidth, Speed, Oscillations
Instrumentation and process control fundamentalshossam hassanein
Basic course covers:
-Basic understanding of process control
-Important process control terminology
-Major components of a process loop
-Instrumentation P&ID symbols
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Maximizing the return on your control investment meet the experts sessions part2Emerson Exchange
The design and commissioning of the controls associated with a continuous or batch process directly impact plant operating efficiency and production quality and throughput. In this session we review techniques that may be used to identify control opportunities to reduce production costs, minimize variations in product quality and to maximize production within the limits set by market demand. Several common application examples from the process industry will be used to illustrate how plant production rate and product quality are directly influenced by process control variation and constraints in plant operation. Starting with an assessment of control loop utilization and automatic control performance, a step by step process is outlined that may be used to identifying and addressing areas where it is possible to justified the time and material costs required to improve control performance. In particular, information will be provided on how to quickly tune single loop control of self-regulating or integrating process and to recognize when variations in control loop performance are not associated with loop tuning. An overview will be provided of tools and techniques that may be used to achieve best control performance over a wide variety of operating conditions. Also, guidance will be provided on when it is possible to justify the cost associated with the installation and commissioning of multi-loop techniques such as feedforward control, ratio and override control. The steps required to commission multi-loop control strategies will be address along with common mistakes to avoid. Also, input will be provided on how to recognize when advanced control techniques such as Fuzzy logic or MPC are needed to achieve the desired control performance. At the end of this session a drawing will be held to give away 10 copies of “Control Loop Foundation – Batch and Continuous Processes”. Many of the ideas discussed in this session are addressed in this book.
Effect of Different Defuzzification methods in a Fuzzy Based Liquid Flow cont...IJITCA Journal
Most of the process control technique is suffered by the complex dynamic systems with nonlinear or timevariable thats why it is very difficult to describe the behaviour of the system. One way to deal with the
uncertainty of the behaviour of the system is to use fuzzy logic.If Fuzzy logic was modelled on spontaneous human reasoning then it captures the impreciseness the most input data which are inherent. In a fuzzy logic controller the focus is the human operator's behaviour, whereas in conventional PID controller what is modeled is the system or process being controlled.FLC regulator has a very good result from complex
nonlinear dynamic processes, uses the reasoning of the human mind which is not always in the form of a
yes or no. In this work,it shows overall effective control and operation of the mechanical equipments applied for control of liquid flow, implemented the fuzzy liquid flow algorithm and compared the effect of
using different defuzzification methods.Flow control system takes information about sensor output voltage,
control valve opening & flows rate as parameters and controls in case of overflowing & wastage.In this design two input parameters: sensor output voltage and rate of change voltage and one output parameters: opening of the control valve .
Effect of Different Defuzzification methods in a Fuzzy Based Liquid Flow cont...IJITCA Journal
Most of the process control technique is suffered by the complex dynamic systems with nonlinear or timevariable
thats why it is very difficult to describe the behaviour of the system. One way to deal with the
uncertainty of the behaviour of the system is to use fuzzy logic.If Fuzzy logic was modelled on spontaneous
human reasoning then it captures the impreciseness the most input data which are inherent. In a fuzzy logic
controller the focus is the human operator's behaviour, whereas in conventional PID controller what is
modeled is the system or process being controlled.FLC regulator has a very good result from complex
nonlinear dynamic processes, uses the reasoning of the human mind which is not always in the form of a
yes or no. In this work,it shows overall effective control and operation of the mechanical equipments
applied for control of liquid flow, implemented the fuzzy liquid flow algorithm and compared the effect of
using different defuzzification methods.Flow control system takes information about sensor output voltage,
control valve opening & flows rate as parameters and controls in case of overflowing & wastage.In this
design two input parameters: sensor output voltage and rate of change voltage and one output
parameters: opening of the control valve .
- Almost all modern car crushers use a hydraulic press to crush the cars.
-Components of a Hydraulic Control Section.
Throttle valve.
Filter.
Releif valve.
Pump (fixed displacement).
Double acting cylinder.
Tank.
Motor.
Directional control valve(2position/4way).
-Field Training Report.
-Department of Mechatronics Engineering.
-AL Kasih Food Production Company.
-CIP
The C.I.P. (Cleaning In Place) unit is a system of tanks, pipelines, and
valves that is managed by a particular program and automatically cleans
and sanitizes the entire facility, even those difficult-to disassemble devices.
-CIP Process.
-Sterilization.
-Filling machine
Transformer
Working Principle
A transformer is an fixed electrical device.
Function : transforms the voltage level .
The principle of operation is mutual induction.
Transformer Parts And Construction:
Primary Winding of Transformer.
Magnetic Core of Transformer.
Secondary Winding of Transformer.
TYPES OF TRANSFORMERS
based on Voltage Level:
1.Step-Down Transformer
2. Step-Up Transformer
A fire alarm system warns people when smoke, fire, carbon monoxide or other fire-related emergencies are detected. There are two types of fire alarm initiating devices: manual and automatic.At the core of a fire alarm system are the detection devices, from sophisticated intelligent smoke detectors to simple manually operated break glass units, there are a wide array of different types, but we can divide them into groups including:
– Heat detectors
– Smoke detectors
– Carbon Monoxide detectors
– Multi-sensor detectors
– Manual Call Points
وحدات قياس الكميات بمادة النواقل - standard units of quantityAnaseem Hanini
وحدات قياس الكميات بمادة النواقل مثل وحدات قياس درجات الحرارة و المستوى و الضغط و الى اخ...
-Temperature units
-level units
-pressure units
created by ANASEEM AL-HANINI.
أزمة الهوية المعمارية - The Architectural Identity CrisisAnaseem Hanini
بحث بعنوان أزمة الهوية المعمارية ما بين الذهاب و الأياب في عصري الحداثة و ما بعد الحداثة .
The Architectural Identity Crisis.
created by aseel al hanini.
-جامعة ال البيت - المفرق -الاردن .
اعداد :أسيل الحنيني
The steam turbine is a rotary mechanical device that converts the
thermal energy of the steam (high pressure and temperature) into useful mechanical energy on a rotating output shaft.
Principle of steam turbine.
-Classifications of Steam Turbines:
1.Impulse (Delaval turbine).
2.Impulse Reaction turbine (Parsons turbine).
-With respect to the number of stages.
-Historical Review
-A prime example
-Steam turbines are employed as the prim movers together with the electric generators in thermal and nuclear power plants to produce electricity.
-cooling tower
-presented by:
ANANSEEM AL-HANINI
-supervisor:
Ibrahim AL-adwan
-Technical college :Faculty of Technological Engineering.
- mechatronics engineering- Machine components
- University :Al- Balqa' Applied University (BAU).
Application of sensors : Thermistors and potentiometerAnaseem Hanini
Application of sensors
Applications of potentiometer:
1. Audio Control The potentiometer is used in radio and television (TV) receiver for volume control, tone control and linearity control.
2. Continuous Balance DVM – The basic block diagram of a servo balancing potentiometer type DVM The input voltage is applied to one side of a mechanical chopper comparator, the other side being connected to the variable arm of a precision potentiometer.
3. Lighting
We can use a potentiometer to control the lighting level of a television, or the brightness of a computer screen.
RTD
1.Air and Gas Temperature Measurement with RTD Sensors
2.liquids Temperature Measurement with Flexible RTDs
The RTD temperature sensors are more accurate and precise then normally used temperature sensors and uses resistance concept to detect the temperature and convert to the digital value.
THERMISTOR
1.NTC Thermistors For Cooling Applications ((PCB)
2. Thermistors Temperature Detection in Fire Alarms.
The most cost effective fire alarm is one utilizing the thermistor method.
A Thermocouple is a sensor used to measure temperature.
Thermocouples consist of two wire legs made from different metals.
The wires legs are welded together at one end, creating a junction. This junction is where the temperature is measured. When the junction experiences a change in temperature, a voltage is created.
the junction potential depends on :
1. the metal A and B
2. temperature
Multimeter A typical multimeter may include features such as the ability to measure voltage, current and resistance.
There are many types of
thermocouples, each with its own unique characteristics in
terms of :
1.temperature range,
2.durability
3. vibration resistance.
4.chemical resistance, and application compatibility.
Type J, K, T, & E
thermocouples, the most common types of thermocouples.
created by: anaseem al-hanini
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
1. 1
Types of Controllers
Process control_ mechatronics
engineering
Supervisor : Monther kanan.
created by :Anaseem Alhanni.
Technical college :Faculty of Technological Engineering.
University :Al- Balqa' Applied University (BAU).
11 . January . 2021
2. 2
contents
Control system ………………………………………..………...................... ….3
Types of Control System……………………………..……….....................….4
Parameterization of the 2nd Order Step Response…........................6
Process control…………………………………………….………........................7
Discrete (ON/OFF) mode………………………………….….....................….9
TWO-POSITION DISCRETE CONTROLLERS…………...........................12
Three-position controllers……………………………………....................…13
continuous-mode controllers……………………………....................……..16
Proportional controller………………………………………....................……16
Proportional Band PB…………………………………………….......................19
The examples of P-Only Control……………………………....................….21
INTEGRAL CONTROLLER……………………………………....................…..22
proportional-integral (PI) controller ………….………..........................…..26
Derivative controller………………………………………….............….............…29
Proportional Derivative controller PD………………….....................…..31
PID…………………………………………...……………….......………............……32
Applications………………………………………………………..................……35
Ziegler-Nichols Closed-loop method……………………….................…37
Instrument Symbols……………………………………………................……42
REFERENCE…………………………………………………........…….......……..55
3. 3
Control system is a combination of various elements
connected as a unit to direct or regulate itself or any other
system in order to provide a specific output is known as a
Control system.
Components of a Control System
1.Controlled process: The part of the system which
requires controlling is known as a controlled process.
2.Controller: The internal or external element of the
system that controls the process is known as the controller.
3.Input: For every system to provide a specific result,
some excitation signal must be provided. This signal is
usually given through an external source. So, the
externally provided signal for the desired operation is
known as input.
4. 4
4.Output: The overall response of the system achieved
after application of the input is known as output.
5.Disturbance is a signal that tends to adversely affect
the value of the output of a system.
TYPES OF DISTURBANCE:
1.aninternal disturbance is generated within the system.
2.an external disturbance is generated outside the system
and is an input.
Types of Control System
1. Open-loop control systems in this control system the
output is neither measured nor fed back for comparison
with the input.
5. 5
2.Closed-loop control systems in this control system the
actuating error signal, which is the difference between
the input signal and the feedback signal, is fed to the
controller so as to reduce the error and bring the output
of the system to a desired value.
6. 6
Parameterization of the 2nd Order Step Response
Rise Time (tr) : the time taken for the output to go
from 10% to 90% of the final value.
Peak Time (tp) :the time taken for the output to
reach its maximum value.
7. 7
Overshoot :(max value -final value)=final value*
100.
Settling Time (ts)- The time taken for the signal to
be bounded to within a tolerance of x% of the steady
state value.
Steady State Error ess : The difference between
the input step value (dashed line) and the final
value.
Process control
Process control is a key part of almost every process
operation. The features of a process are usually measured
by process variables PV. The control of process variables is
achieved by controllers.
Our prime objective is to design and tune various
controllers and also analyze their performance.
Implementing an effective control structure to control a
process provide us various benefits like:
8. 8
1. Better regulation of yield.
2. Better utilization of resources like energy.
3. Higher operating frequency, increased production and
improved recording and reporting of process operations.
In process control loops, a controller’s job is to influence
the control system via control signal so that the value of
the controlled variable equals the value of the reference.
Controller mode is the way in which the controller
responds to deviation.
9. 9
A controller can have one of two modes that describes its
output signal = There are two main types of
controllers: discontinuous controllers andcontinuous
controllers .
A.Discrete (ON/OFF) mode:
discrete-mode controllers produce a conditionally
stable response. This means that the system error
10. 10
fluctuates between a predetermined deadband,
creating a low-amplitude sinusoidal response.
The starting and stopping of events is a discrete-
based system because the event is either true or
false, (i.e., started or stopped, open or closed, on or
off).
This type of control system can also be made
automatic and is perfectly suited to computer-based
controllers.
These discrete-state control systems are often
implemented using specialized computerbased
equipment called programmable logic controllers
(PLCs).
control the heater is an example of a discrete-mode
controller.
This is a type of control system concerned with
controlling a sequence of events rather than
regulation or variation of individual variables.
11. 11
For example, the manufacture of paint might
involve the regulation of many variables, such as
mixing temperature, flow rate of liquids into mixing
tanks, speed of mixing, and so on. Each of these
might be expected to be regulated by process-control
loops. But there is also a sequence of events that
must occur in the overall process of manufacturing
the paint. This sequence is described in terms of
events that are timed to be started and stopped on a
specified schedule. Referring to the paint example,
the mixture needs to be heated with a regulated
temperature for a certain length of time and then
perhaps pumped into a different tank and stirred for
another period.
12. 12
Types of discrete-mode controllers are:
Two-position controllers turn the output
ON (100% open) or OFF (0% open) once the process
variable crosses an error deadband around the set point.
If the deadband is increased, the oscillation frequency will
decrease, but the error will be maximized.
ON/OFF controllers are appropriate for applications where
large-scale,sudden changes are uncommon and the process
reaction rate is slow.
The main application of tow position controller are :
1.Room heating or air conditioning system.
2.Liquid path temperature control.
3.Level control in large volume tank.
15. 15
the overshoot and undershoots of error around the upper
and lower setpoints.
This is due to both the process lag time and controller lag
time, indicated by the finite time required for control
element to reach new setting.
16. 16
B.continuous-mode controllers
It used to avoid the oscillatory system response
caused by ON/OFF control.
A continuous-mode controller sends an analog
signal to the process control field device to regulate the
process variable, bringing the error signal to zero in a
closed-loop system.
The manner in which the controller produces the
control signal is called the control action.
A continuous-mode controller behaves like a
multiposition controller with an infinite number of
positions.
Continuous-mode controllers use three different
modes to control the process:
17. 17
It adjusts the control variable output in a manner
proportional to the error.
Proportional or P- controller gives an output that is
proportional to current error e (t).
It compares set point with the actual value or feedback
process value.
It changes the manipulated variable in proportion to
the control difference.
It reacts immediately to deviations in the system, and
corrects them quickly.
The resulting error is multiplied with a proportional
constant to get the output.
If the error value is zero, then this controller output is
zero.
CV (t ) = KPE +CV(E=0 )
KP :the proportional gain of the controller.
E :the current error.
18. 18
CV(E=0 ) : the controller output when the error
equals 0.
KP=CV/E
Tan β = CV/E =KP
The proportional gain KP of the system is defined by
how much the control variable output changes for each
percent of error within the control band.
19. 19
The proportional gain KP relationship between the
error and the control variable depends on the width of
the band upon which the controller is acting.
The gain of a controller indicates how sensitive the
controller is to error.
Proportional Band PB
The proportional band is the change of the controlled
variable required to move the control element through
its entire positioning range.
PB=1/KP
20. 20
If KP increases, The PB decreases.
If KP increases, the sensitivity of the system increases.
Sensitivity is a measure of the change in output of an
instrument for a change in input.
Advantages of Proportional Controller
1. The proportional controller helps in reducing the
steady-state error, thus makes the system more
stable.
2. The slow response of the overdamped system can
be made faster with the help of these controllers.
Disadvantages of Proportional Controller
1. Due to the presence of these controllers, we get some
offsets in the system.
2. Proportional controllers also increase the maximum
overshoot of the system.
21. 21
Inner Loop Cascade Control
P-Only Control is well suited for many cascade
applications as it provides an effective means for
counteracting upstream process disturbances.
Within the cascade architecture it’s important to note
that the Controller Output of the outer loop serves as
the Set Point of the inner loop. The inner loop is able to
see and react to disturbances ahead of the outer loop.
When tuned aggressively using the P-Only
configuration the controller is able to react faster than
the outer loop and thereby take the brunt of
disturbances. While overshoot – even significant
overshoot – can be expected its impact is confined to the
inner loop. Any offset associated with use of a P-Only
controller is typically corrected by the outer loop as long
as the outer loop is not excessively slow.
22. 22
Offset An important characteristic of the proportional
control mode is that it produces a permanent residual
error in the operating point of the controlled variable
when a change in load occurs. This error is referred to
as offset.
ii. INTEGRAL CONTROLLER
The offset error of the proportional mode occurs
because the controller cannot adapt to changing
external conditions—that is, changing loads. In other
words, the zero-error output is a fixed value.
The integral mode eliminates this problem by
allowing the controller to adapt to changing external
conditions by changing the zero-error output.
Integral action is provided by summing the error over
time, multiplying that sum by a gain, and adding the
result to the present controller output.
You can see that if the error makes random excursions
above and below zero, the net sum will be zero, so the
integral action will not contribute.
23. 23
But if the error becomes positive or negative for an
extended period of time, the integral action will begin
to accumulate and make changes to the controller
output.
An integral controller will stop adjusting its output
once the error becomes zero.
The integral gain KI indicates the sensitivity of the
output’s rate of change to the percentage of error that
occurs over time.
Ki=the integral gain in %of the controller output per
second per % error.
E =the error in %.
24. 24
Large Ki Small Error
Large rate of
change in the
controller output
Small Ki small Error
small rate of
change in the
controller output
25. 25
Ki = (d CV / dt) /E
[Ki] = (% /s) /%
Large Ki Small Ki.
Ki 1 is more sensitivity than Small Ki 2.
26. 26
If it occurs step change (in error), the controller
will respond with a steep increase in output.
When the error becomes zero, then the
controller will keep its output at its previous
level.
The integral controller mode is also referred to
as reset action, because it automatically resets
the error to zero over time.
It of controller has a fast response time by
(proportional action).
It eliminates all residual error by (integral action).
The type of connection PI controller :
1. In a series PI controller.
28. 28
Series PI controller is faster than Parallel PI controller.
The term repeats KpE is used when referring to how
many times the proportional amount is repeated in one
minute.
parallel PI
controller
input of I
is Error
I and P action occur
independently of
each other
series PI
controller
input of I
is Kp*Error
I action occurs
after the P action
(dependent)
29. 29
• The output of a D controller is proportional to the rate of
change of the error in the system.
• dE/dt.
• KD=TD ,TD is the rate time.
• D action is not used by itself in a controller.
• the derivative action response to a step change creates an
infinite change in error over time
• causing the output of the controller to have 100% saturation
for an instant.
• If the error remains at its stepped up value, the controller will
sense no change and will return the control variable to 50%.
• it onlyproduces a change in output if there is a change in the
rate of error.
Standard
Derivative
controller
• The action is the change in the process variable rate over time.
• dPV/dt.
• It used by some PLCs, avoids the saturation of the control variable in
response to a step change in the set point.
• It cannot be used by itself because the error signal is not fed back to
the controller for error correction.
Modified
Derivative
controller
30. 30
1.STANDARD DERIVATIVE CONTROLLERS
KD :the derivative gain constant in %(sec/%).
d E/dt: the rate of change of error over the duration of
change in %/sec.
CVnew :the control variable.
2.MODIFIED DERIVATIVE CONTROLLERS
d PV/dt : the rate of change of process variable over the
duration .
31. 31
v. Proportional Derivative controller PD
Parallel
standard PD
controller
Parallel
modified
PD
controller
Series standard
PD controller
Series modified
PD controller
Cv=kp+kD (dE/dt) cv=kpE-
kD(dpv/dt)
cv= kpE + kDkp
*(dE/dt)
cv=kp-
kpkD(dpv/dt)
a) The derivative action in a PD controller adds
stability to a closed-loop system by reducing the
amount of overshoot and undershoot in the
system’s response.
b) The derivative component acts as a “brake” in the
system, slowing the proportional response as the
process variable approaches its set point.
32. 32
PID
The PID control scheme is named after its three
correcting terms, whose constitutes the manipulated
variable (MV). The proportional, integral, and derivative
terms are summed to calculate the output of the PID
controller. Defining as the controller output, the final
form of the PID algorithm is:
Taking the Laplace transform we obtain:
33. 33
Kp : Proportional gain.
Ki: Integral gain.
Kd: Derivative gain.
e: Error = Set Point – Process value.
t : Instantaneous time.
It can be concluded that PID controller has all the
necessary dynamics:
1. fast reaction on change of the controller input(D mode)
2. increase in control signal to lead error to zero(I mode).
3. suitable action inside control error area to eliminate
oscillations (P mode).
35. 35
Applications
The best PID controller application is temperature control
where the controller uses an input of a temperature
sensor & its output can be allied to a control element like
a fan or heater. Generally, this controller is simply one
element in a temperature control system. The entire
system must be examined as well as considered while
choosing the right controller.
1. Temperature Control of Furnace
Generally, furnaces are used to include heating as well as
holds a huge amount of raw material at huge
temperatures. It is usual for the material occupied to
include a huge mass. Consequently, it takes a high
quantity of inertia & the temperature of the material
doesn’t modify rapidly even when huge heat is applied.
This feature results in a moderately stable PV signal &
permits the Derivative period to efficiently correct for
36. 36
fault without extreme changes to either the FCE or the
CO.
2.MPPT Charge Controller
The V-I characteristic of a photovoltaic cell mainly
depends on the range of temperature as well as
irradiance. Based on the weather conditions, the
current and operating voltage will change
constantly. So, it is extremely significant to track
the highest PowerPoint of an efficient photovoltaic
system. PID controller is used to finding MPPT by
giving fixed voltage and current points to the PID
controller. Once the weather condition is changed
then the tracker maintains current and voltage
stable.
37. 37
Ziegler-Nichols Closed-loop method
Ziegler-Nichols Closed-loop method is used to obtain the
controller constants [KP, KI (or TI), and KD (or TD)] in a
system with feedback.
It was the first proper algorithmic method for tuning
the PID controllers. It is not widely used today because
closed-loop behavior tends to be oscillatory and
sensitive to uncertainty.
The main objective of the Ziegler-Nichols closed-loop
method is to find the value of the proportional-only
gain that causes the control loop to oscillate
indefinitely at a constant amplitude.
This gain, which causes steady-state oscillations, is
called the ultimate proportional gain (KPU).
(TU) the ultimate period is the time required to
complete one full oscillation once the response begins to
oscillate at a constant amplitude.
Their methods were used for non-first order plus dead
time situations, and involved intense manual
calculations.
38. 38
Steps for Ziegler-Nichols Closed-loop method
tuning:
1. Remove integral and derivative action. Set integral
time (Ti) to 999 or its largest value or Ki=0 and set
the derivative controller (Td) to zero or Kd=0.
2. Create a small disturbance in the loop by changing
the set point. Adjust the proportional, increasing
and/or decreasing, the gain until the oscillations
have constant amplitude.
3. Record the gain value (Ku) and period of oscillation
(Pu).
42. 42
Instrument Symbols
The instrumentation associated with control systems
varies from sensors and transmitters to controllers,
computers, and PLCs. These are drawn as bubbles
with or without rectangles.
In general, the instrument symbol will be identified
by a letter code,which denotes its function, and by a
number code assigned by the designers, which may
identify the loop or some region of the plant.
55. 55
REFERENCE
1. Characterising the Response of a Closed Loop System _Signals and
Systems: 3C1
Control Systems Handout 2_Dr. David Corrigan.
2. COMPARISION OF PERFORMANCE ANALYSIS OF DIFFERENT CONTROL
STRUCTURES Bachelor of Technology in _ Electronics & Communication
Engineering
By SOMJIT SWAIN (108EI029).
3. The Electronics Engineers' Handbook, 5th Edition _ McGraw-Hill, Section
19.
4. Text book: K. Ogata Modern control Engineering. 5th edition.
5. https://instrumentationforum.com.
6. Process Control Instrumentation Technology _ Curtis D. Johnson
_ Eighth Edition.
7. https://controlstation.com.
8. http:// www.sapiensam.com/control/index.htm.
. electrical4u