This presentation about Basics Of The Control System.
Hope it will help you.
*Control System
*Difference between System and Control System
*Classification of Control System
*Examples of Open Loop Control Systems
*Examples of Close Loop Control Systems
*Advantages & Disadvantages of Open Loop Control Systems
*Advantages & Disadvantages of Close Loop Control Systems
in modern world, work which are done by humans are now that places are taken by machines. control system are essential to understand how they work. this is basic of control system and also with the example.
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.
This presentation about Basics Of The Control System.
Hope it will help you.
*Control System
*Difference between System and Control System
*Classification of Control System
*Examples of Open Loop Control Systems
*Examples of Close Loop Control Systems
*Advantages & Disadvantages of Open Loop Control Systems
*Advantages & Disadvantages of Close Loop Control Systems
in modern world, work which are done by humans are now that places are taken by machines. control system are essential to understand how they work. this is basic of control system and also with the example.
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.
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
This paper outlines fundamental topics related to classical control theory. It moves from modeling simple mechanical systems to designing controllers to manage said system.
Introduction, Feature of Control System, Requirement of Good Control System, Types of Control System, Open-loop control system, Closed-loop control system, Comparison of Closed-Loop and Open-Loop Control System, Signal flow graph, Conversion of Block Diagrams into Signal Flow Graphs, and Questions.
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
This paper outlines fundamental topics related to classical control theory. It moves from modeling simple mechanical systems to designing controllers to manage said system.
Introduction, Feature of Control System, Requirement of Good Control System, Types of Control System, Open-loop control system, Closed-loop control system, Comparison of Closed-Loop and Open-Loop Control System, Signal flow graph, Conversion of Block Diagrams into Signal Flow Graphs, and Questions.
Control engineering module 1 part-a 18me71Mohammed Imran
Control engineering module 1 part-a
Part-A
Introduction: Components of a control system, Open loop and closed loop systems.
Types of controllers: Proportional, Integral, Differential, Proportional-Integral, and Proportional- Integral Differential controllers.
Part-B
Modelling of Physical Systems: Mathematical Models of Mechanical, Electrical, Thermal, Hydraulic Systems.
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Analogous Electrical Model of Water Processing Plant as a Tool to Study “The ...ijctcm
This paper presents an analogous electrical model for water processing plant. The three major components of the plant; the connecting pipes, the water tanks and the filter have been modeled here by resistors, capacitors and inductors of an electrical circuit as a model of the plant. The mechanical properties of these components are thus represented by equivalent electrical properties as resistance, capacitance and inductance, respectively. In these representations the resistance is expressed as a function of both the cross sectional area (A) and the length (L) of the pipes; and the capacitance is expressed as a function of the Area of the tanks (capacity of tank), while the inductance (constriction to debris) is expressed as a function of number of wound string on the filter cartridge. From the results of the simulation, it was observed that by varying the electrical parameters (resistors, capacitors, inductor), it is possible to study the way the manipulation of equivalent parameters of the analogous mechanical components (the connecting pipes, the water tanks and the water filter) of the water plant could influence the rate of water flow in the production process. This work does demonstrate the possibility of knowing from the beginning the various sizes of pipes, tanks and filter to be used and how these will affect the flow of water in the plant before going into the physical construction of the plant. This method could be used in a more complex system.
Analogous Electrical Model of Water Processing Plant as a Tool to Study “The ...ijctcm
This paper presents an analogous electrical model for water processing plant. The three major components of the plant; the connecting pipes, the water tanks and the filter have been modeled here by resistors, capacitors and inductors of an electrical circuit as a model of the plant. The mechanical properties of these components are thus represented by equivalent electrical properties as resistance, capacitance and inductance, respectively. In these representations the resistance is expressed as a function of both the cross sectional area (A) and the length (L) of the pipes; and the capacitance is expressed as a function of the Area of the tanks (capacity of tank), while the inductance (constriction to debris) is expressed as a function of number of wound string on the filter cartridge. From the results of the simulation, it was observed that by varying the electrical parameters (resistors, capacitors, inductor), it is possible to study the way the manipulation of equivalent parameters of the analogous mechanical components (the connecting pipes, the water tanks and the water filter) of the water plant could influence the rate of water flow in the production process. This work does demonstrate the possibility of knowing from the beginning the various sizes of pipes, tanks and filter to be used and how these will affect the flow of water in the plant before going into the physical construction of the plant. This method could be used in a more complex system.
A control system consisting of interconnected components is designed to achieve a desired purpose. To understand the purpose of a control system, it is useful to examine examples of control systems through the course of history. These early systems incorporated many of the same ideas of feedback that are in use today
Comparison of backstepping, sliding mode and PID regulators for a voltage inv...IJECEIAES
In the present paper, an efficient and performant nonlinear regulator is designed for the control of the pulse width modulation (PWM) voltage inverter that can be used in a standalone photovoltaic microgrid. The main objective of our control is to produce a sinusoidal voltage output signal with amplitude and frequency that are fixed by the reference signal for different loads including linear or nonlinear types. A comparative performance study of controllers based on linear and non-linear techniques such as backstepping, sliding mode, and proportional integral derivative (PID) is developed to ensure the best choice among these three types of controllers. The performance of the system is investigated and compared under various operating conditions by simulations in the MATLAB/Simulink environment to demonstrate the effectiveness of the control methods. Our investigation shows that the backstepping controller can give better performance than the sliding mode and PID controllers. The accuracy and efficiency of the proposed backstepping controller are verified experimentally in terms of tracking objectives.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
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The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
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Basic phrases for greeting and assisting costumers
Bilal ahmed ansari
1. BILAL AHMED ANSARI
PROFESSOR REHAN ADIL
B.S ELECTRONICS(5th SEMESTER)
DATED:19/12/2012.
TITTLE
MODERN CONTROL SYSTEM
ABSTRACT:
In this research we describe a general process for designing a control system.
A control system consisting of interconnected components is designed to achieve a
desired purpose.To understand the purpose of a control system, it is useful to examine
examples of control systems through the course of history.These early systems many of
the same ideas of feedback that are in use today.Modern control engineering practice
includes the use of control design strategies for improving manufacturing processes, the
efficiency of energy use, advanced automobile control, including rapid transit, among
others.We also discuss the notion of a design gap. The gap exists between the complex
physical system under investigation and the model used in the control system synthesis.
The iterative nature of design allows us to handle the design gap effectively while
accomplishing necessary trade offs in complexity, performance, and cost in order to meet
the design specifications.
INTRODUCTION:
This is written at the level of the senior engineering student and is intended to
be used as a text for the first course in control systems. It presents a comprehensive
treatment of the analysis and design of continuous-time control systems. It is assumed
that the reader has had courses on introductory differential equations, introductory vector
matrix analysis, introductory circuit analysis, and mechanics.
Control engineering is based on the foundations of feedback theory and
linear system analysis, and it generates the concepts of network theory and
communication theory. Accordingly, control engineering is not limited to any
engineering discipline but is applicable to aeronautical, chemical, mechanical,
environmental, civil, and electrical engineering.
18th Century: James Watt’s centrifugal governor for the speed control of a steam
engine.
1920s: Minorsky worked on automatic controllers for steering ships.
1930s: Nyquist developed a method for analyzing the stability of controlled systems
1940s; Frequency response methods made it possible to design linear closed loop
control systems
1950s: Root-locus method due to Evans was fully developed
1960s: State space methods, optimal control, adaptive control and
1980s: Learning controls are begun to investigated and developed.
2. Present: And on-going research fields. Recent application of modern control theory
includes such non engineering systems such as biological, biomedical, economic and
socio-economic systems
To understand the word control system, first we have to know the meaning
of word system and then word control system can be clear.
SYSTEM: A system is a combination or an arrangement of different physical
components which act together as an entire unit to achieve certain objectives.
CONTROL SYSTEM : An interconnection of components forming a system
configuration that will provide a desired response.
PROCESS: The device, plant, or system under control. The input and output
relationship represents the cause and effect relationship of the process.
OPEN LOOP CONTROL SYSTEM: Utilize a controller or control actuator to
obtain the desired response.
CLOSED LOOP CONTROL SYSTEM: Utilize feedback to compare the actual
output to the desired output response.
BASIC CONCEPTS OF A CONTROL SYSTEM:
1. PLANT: A physical object to be controlled such as a mechanical device, a
heating furnace, a chemical reactor or a spacecraft.
2. CONTROLLED VARIABLE: the variable controlled by Automatic
Control System , generally refers to the system output.
3. EXPECTED VALUE: The desired value of controlled variable based on
requirement often it is used as the reference input.
4. CONTROLLER: An agent that can calculate the required control signal.
5. ACTUATOR: A mechanical device that takes energy, usually created by
air, electricity, or liquid, and converts that into some kind of motion.
6. SENSOR: A device that measures a physical quantity and converts it into a
signal which can be read by an observer or by an instrument.
7. DISTURBANCE: The unexpected factors disturbing the normal
functional relationship between the controlling and controlled parameter
variations.
BASIC REQUIREMENT FOR A CONTROL SYSTEM:
1. STABILITY: Refer to the ability of a system to recover equilibrium.
2. QUICKNESS: Refer to the duration of transient process before the control
system to reach its equilibrium.
ACCURACY: Refer to the size of steady-state error when the transient process ends.