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
Pneumatic control valve
Actual Pneumatic Control Valve
Typical Actuator & Valve
introduction to actuator
Actuator power
Actuator Fluids
Diaphragm Actuator
Positioner Indicator
Valve Body
Valve Plugs
Reverse & Direct Actuators
Air-To-Open vs. Air-To-Close
control valve
Controller Tuning
Selection of controller modes
Tuning Rules
Ziegler – Nichols Controller Settings
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
Pneumatic control valve
Actual Pneumatic Control Valve
Typical Actuator & Valve
introduction to actuator
Actuator power
Actuator Fluids
Diaphragm Actuator
Positioner Indicator
Valve Body
Valve Plugs
Reverse & Direct Actuators
Air-To-Open vs. Air-To-Close
control valve
Controller Tuning
Selection of controller modes
Tuning Rules
Ziegler – Nichols Controller Settings
,the control system ,negative feedback versus positive feedback ,servo problem versus regulator problem ,development of block diagram ,measuring element ,controller and final control element
In this session you will learn:
Basics of control systems
Open and Closed loop control systems
Elements of automatic control
Two position control system
Modes of automatic control
For more information, visit: https://www.mindsmapped.com/courses/industrial-automation/complete-training-on-industrial-automation-for-beginners/
Mr. C.S.Satheesh, M.E.,
Basic elements in control systems
System
Types of Control Systems
Open Loop Control Systems
Closed Loop Control Systems
Difference Between Open loop & Closed loop Control Systems
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).
Basic Elements of Control System, Open loop and Closed loop systems, Differential
equations and Transfer function, Modeling of Electric systems, Translational and rotational
mechanical systems, Block diagram reduction Techniques, Signal flow graph
,the control system ,negative feedback versus positive feedback ,servo problem versus regulator problem ,development of block diagram ,measuring element ,controller and final control element
In this session you will learn:
Basics of control systems
Open and Closed loop control systems
Elements of automatic control
Two position control system
Modes of automatic control
For more information, visit: https://www.mindsmapped.com/courses/industrial-automation/complete-training-on-industrial-automation-for-beginners/
Mr. C.S.Satheesh, M.E.,
Basic elements in control systems
System
Types of Control Systems
Open Loop Control Systems
Closed Loop Control Systems
Difference Between Open loop & Closed loop Control Systems
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).
Basic Elements of Control System, Open loop and Closed loop systems, Differential
equations and Transfer function, Modeling of Electric systems, Translational and rotational
mechanical systems, Block diagram reduction Techniques, Signal flow graph
Poles and Zeros of a transfer function are the frequencies for which the value of the denominator and numerator of transfer function becomes zero respectively
Biomedical Control Systems - SYSTEM CONCEPTS (Short Questions & Answers)Mathankumar S
Biomedical Control Systems - SYSTEM CONCEPTS (Short Questions & Answers) - Its Deal with Types of systems, Open loop systems, Closed Loop systems, Effects of feedback, Mathematical Models of Physical systems: Introduction, Differential equations, Transfer functions, Block Diagram Algebra, Signal Flow Graphs.
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.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
The Internet of Things (IoT) is a revolutionary concept that connects everyday objects and devices to the internet, enabling them to communicate, collect, and exchange data. Imagine a world where your refrigerator notifies you when you’re running low on groceries, or streetlights adjust their brightness based on traffic patterns – that’s the power of IoT. In essence, IoT transforms ordinary objects into smart, interconnected devices, creating a network of endless possibilities.
Here is a blog on the role of electrical and electronics engineers in IOT. Let's dig in!!!!
For more such content visit: https://nttftrg.com/
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
2. Feed forward system.pptx
1. Marathwada Mitramandal’s
COLLEGE OF ENGINEERING
Karvenagar, Pune
Accredited with ‘A’ Grade by NAAC
Presentation
On
Subject: Control System Engineering
by
Mr. A. M. Suryawanshi
Department of Electrical Engineering
2. Unit 1: Basics of Control System
Session- 2/40
Tracking, regulator system, feed forward system, transfer
function
Session Plan
3. Outline:
A. Attendance
B. Review of the previous session
C. Learning Outcomes of the session
D. Content
E. Student’s evaluation
F. Preparation for next session
G. Wrap up
4. B. Review of previous session:
• Basic concepts of control system
A control system is a system, which provides the desired response by controlling the output.
• Classification of control systems
1. Continuous time and Discrete-time Control Systems
2. SISO and MIMO Control Systems
3. Open Loop and Closed Loop Control Systems
• Types of control system feedback
There are two types of feedback −
1. Positive feedback
2. Negative feedback
5. C. Learning Outcomes of the session:
• Understand tracking, regulator system, feed forward system
• Define transfer function
7. Tracking, Regulator system
Tracking and regulation refer to the ability of a control system to track/reject
a given family of reference/disturbance signals.
1. Effect of Feedback on Overall Gain
2. Effect of Feedback on Sensitivity
3. Effect of Feedback on Stability
4. Effect of Feedback on Noise
8. Feed forward system
The basic concept of feedforward control is to measure important disturbance
variables and take corrective action before they upset the process.
9. S.NO. Feedback Control System Feed Forward Control System
1.
In feedback system output depends on the
generated feedback signal.
In feed forward system the signal is passed to some
external load.
2.
Measure of disturbances in the system is not
needed by feedback system.
Measure of disturbances in the system is needed by
feed forward system.
3.
All the disturbances are detected in
feedback system.
All the disturbances are not detected in feed forward
system.
4.
The loop in a feedback control system is a
closed loop.
The loop in a feed forward control system is an open
loop.
5. It focuses on the output of the system. It focuses on the input of the system.
6.
The variables are adjusted on the basis of
errors.
The variables are adjusted on the basis of knowledge.
10. Transfer function
The transfer function of a control system is defined as the ratio of the Laplace
transform of the output variable to Laplace transform of the input variable
assuming all initial conditions to be zero.
𝐺 𝑆 =
𝐶(𝑆)
𝑅(𝑆)
A transfer function represents the relationship between the output signal of
a control system and the input signal, for all possible input values.
11. E. Student’s evaluation
Q1. Compare feedback and feedforward control system
Q2. Explain and derive TF for negative feedback closed loop
control system
12. Concept of pole and zero: -
Poles: These are those values of s when placed in denominator, the transfer function tends
to obtain infinite value. Here, the poles of the system are -2 and -3.
Zeroes: These are those values of s when placed in numerator makes the transfer function
0. Here, the system have only 1 zero, ie, -1.
Modeling of Electrical and Mechanical systems (Only series linear and rotary motion) using
differential equations and transfer function: -
Design of control system means finding the mathematical model when we know the input
and the output.
The following mathematical models are mostly used.
1. Differential equation model
2. Transfer function model
There are two types of mechanical systems based on the type of motion.
1. Translational mechanical systems
2. Rotational mechanical systems
F. Preparation for Next Session:-
13. G. Wrap Up
In this lecture we have learned
Tracking, Regulator system:
Tracking and regulation refer to the ability of a control system to track/reject a
given family of reference/disturbance signals.
Feed forward system:
The basic concept of feedforward control is to measure important disturbance
variables and take corrective action before they upset the process
Transfer function:
A transfer function represents the relationship between the output signal of a
control system and the input signal, for all possible input values.